RESEARCH PAPERS

satellite image processing


The use of satellite imagery and digital image processing in landscape archaeology. A case study from the island of Mallorca, Spain
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The aim of this research was to assess the potential use of satellite imagery and digital image processing for the detection and surveying of ancient land-use patterns. The rural land-use patterns in the southeastern region of Mallorca (Spain) were investigated in

Vegetation classification and quantification by satellite image processing. A case study in north Portugal
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ABSTRACT The expected increase in Forest Biomass demand for energy production leads to derive expeditious and non-expensive techniques in order to classify vegetal land cover and evaluate the available biomass like to be harvested. Satellite image processing and

Multi-spectral satellite image processing on a platform FPGA engine
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Abstract Multi-spectral satellite image sets present a storage and transmission problem. These image sets can also contain line features that typical detection methods do not resolve sharply enough for some purposes. The Karhunen-Loeve transform (KLT)

Preliminary experiments on image processing for satellite orbital maintenance
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Surface circulation estimation using image processing and computer vision methods applied to sequential satellite imagery
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methods of automating the process of ocean feature¦¦ trackina for estimating surface currents in coastal areas are outlined. These methods involve pattern recognition and have certain advantages over the more familiar maximum" cross-correlation technique of Emery

A novel image processing technique for counting the number of trees in a satellite image
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ABSTRACT This Paper Presents, an Image Processing Method for counting the number of trees in a High Spatial Resolution Satellite Image using Texture Approach. A hierarchical strategy is followed for detect, delineate and counting the trees in an image. Texture

Of Neural Networks, Image Processing And CAD-Based Environments Facilities In Automatic Road Extraction And Vectorization From High Resolution Satellite
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ABSTRACT: In this article a new procedure that was designed to extract road centerline from high resolution satellite images, is presented. The results (road Networks) are fully structured in vector formed in Computer Aided Design (CAD) based system that could be

Road extraction from high resolution satellite images using image processing algorithms and CAD-based environments facilities
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Abstract: In this research, a new procedure that was designed to extract road centerline from high resolution satellite images, is presented. The results (road Networks) are fully structured in vector formed in Computer Aided Design (CAD) based system that could be

Spatial Data Exploring by Satellite Image Distributed Processing
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Our society needs and environmental predictions encourage the applications development, oriented on supervising and analyzing different Earth Science related phenomena. Satellite images could be explored for discovering information concerning land cover, hydrology,

High-performance low-cost image processing unit for small satellite earth observation using COTS devices
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Abstract: Earth observation is one of the most important applications of space systems. The ability to realize earth observation using small satellites enables cost-efficient earth observation. To do this, improvements are inevitable for high performance image

Application of satellite image processing to earth resistivity map
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Abstract:-This paper proposes a useful technique for generating an earth resistivity map. Earth resistance is one of essential factors in a broad range of power system analysis and design. Information of earth resistivity is helpful for practical power system engineers in

Grid services for satellite image processing.
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Abstract: One reason for using Grid computing for satellite image processing is that the required computing performance or data sharing is usually not available at the user side. Two related scenarios are analyzed in the paper: image processing at the data site using

Rock mapping of glaciated areas by satellite image processing
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The analysis of satellite images of polar areas is useful in enabling us to study glaciers and iceshelf movements, prepare and tune topographic maps (Borfecchia Frezzotti 1991) and perform geologic analyses of the tectonics (Fortunati et al. 1991) and morphotectonics of

8-band image data processing of the worldview-2 satellite in a wide area of applications
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Recent years have seen advances in remote sensing in many fields with applications at a spatial scale which range from global to local. As a consequence, the need to observe the Earth with more specialized and sophisticated sensors and data analysis techniques to

Object-Oriented Image Processing of an high resolution satellite imagery with perspectives for urban growth, planning and development
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Abstract The management of urban areas by urban planners relies on detailed and updated knowledge of their nature and distribution. Manual photo-interpretation of aerial photographs is efficient, but is time consuming. Image segmentation and object-oriented

Nonlinear processing of large scale satellite images via unsupervised clustering and image segmentation
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Abstract:–For large scale satellite images, it is evitable that images will be affected by various uncertain factors, especially those from atmosphere. To minimize the impact of atmosphere medium dispersing, image segmentation is an essential procedure. As one of

Mapping of urban green cover using different image processing techniques on VHRsatellite data
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ABSTRACT: Green areas are important parts of urban sprawl with environmental and social effects. Mapping of urban green is a basic condition for effective management and protection. Fast growing of settlements and rising of ecological problems in urban zones

Processing Of Satellite Image Using Digital Image Processing
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ABSTRACT: Pictures are the most effective means of conveying information. A picture is worth a thousand words. Pictures concisely convey information about positions, sizes and interrelationships between objects. Human beings are good at deriving information from

A Web Services Composition with BPEL and Satellite Image Processing for urban and river bed changes assessment
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Abstract The processing of satellite images can be a demanding task in terms of computer power. Most user workstations are common ones, with no special hardware or license for a commercial image processing tool. Web Services are applications that are made available

Multispectral Image Pre-Processing for Interactive Satellite Image Classification
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Abstract The purpose of multispectral satellite imagery preprocessing for Land Cover Classification is creation of enhanced satellite images before further processing and imagery analysis with final land classification and automated linear object and area

Requirements Study of a High-Resolution Satellite Image Receiving, Processing and Archiving System
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ABSTRACT: This paper addresses a new project being carried out at Satellite Technology Research Center. The purpose of the project is to implement a system which receives, processes and stores lm resolution satellite image transmitted at over 300Mbps down link

Salt Lake Maharlu Monitoring by Multi-spectral Satellite Image Processing Techniques
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Monitoring of salt lake arid areas of sustainable development and environmental protection is an important parameter. Monitoring of this phenomenon, for extraction and thematic maps at different times is necessary. Remote Sensing is Powerful tool of the earth's different

Determination of Typhoon Intensity by Using Objective Satellite Image ProcessingTechnique
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Abstract. An objective technique for obtaining features associated with the shape of cloud structures embedded in typhoon from satellite infrared images is described. As a typhoon usually develops from an unstructured cloud cluster to the cloud structures with more axis-

EVOLVING MATCHED FILTER TRANSFORM PAIRS FOR SATELLITE IMAGE PROCESSING
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ABSTRACT Modern image compression algorithms such as JPEG 2000 employ the discrete wavelet transform (DWT) to redistribute the information in an image into a more compressible format. Under normal conditions, the DWT provides near perfect

Satellite Image Processing and Mathematical Modeling of the Growth of Cyanobacteria to Determine the Level of Environmental Contamination in the Tiete
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Abstract:-In this study satellite images obtained from LANDSAT (series 5 and 7) were used to obtain a correlation between the level of contamination in the Tiete river beach near the city of Lins, Sao Paulo (Brazil). Using data from samples taken in the river, geo-referenced

OF VALUE ADDED SATELLITE IMAGE PROCESSING SYSTEM-A CASE STUDY USING WORLDVIEW-2 SATELLITE IMAGERY OF MADUCANG AND SAN
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A digital remotely sensed image is typically composed of picture elements (pixels) located at the intersection of each row i and column j in each K bands of imagery. Associated with each pixel is a number known as Digital Number (DN) or Brightness Value (BV) that depicts the

Grid Computing based Satellite Image Processing for Fire Prevention
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Abstract±This paper presents the processing stages of a satellite image processed in a grid network with the aim of fire prevention. The steps followed by a satellite image in order to realize the proposed purpose are: image pre processing, image segmentation, image

Satellite Image Processing based on Multithreaded and Data driven structure
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Abstract To effectively process huge volume of data such as satellite images in the multi- processor environment, the parallelism of image processing program should be taken into consideration. To achieve this purpose, we have designed a new image processing

Accelerating Satellite Image Processing through Cloud Computing
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Web-based satellite image processing pipelines (used by oceanographers to extract and analyse ocean colour data) onto Microsoft's Azure cloud computing platform. The paper firstly describes the background and related work. It then describes the technical

A Digital Approach of Satellite Image Processing for Retrieving Surface Parameters
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ABSTRACT Remote sensing offers an efficient and reliable means of collecting surface parameters required for many applications in crop model, flood monitoring and environment changes. Remote sensors flown on space based vehicles can provide structural

REMOTE SENSING SATELLITE IMAGE DATA RESTORATI ON PROCESSING~ ITHO UT MTF
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SUMMARY Ve developed an image restoration method for re~ ote sensing salel 1 j-te image data ithout MH. This method is useful for American TM and French SPOT remote sensing resource sate!! i te image processing. and ad-ditionally'We\ oere able to receive improved

A Study on Satellite Image Processing and Recognition
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Abstract:This paper is to engage in buildings recognition of our campus using satellite images provided by the Google Earth. In the study, an image processing system based on a GUI was designed to facilitate the pre-processing of satellite images. Firstly, it converted

CLASSIFICATION OF VEGETATION AREA FROM SATELLITE IMAGES USING IMAGE PROCESSING TECHNIQUES
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ABSTRACT Image processing has been proved to be efficient tools for investigation in different fields and applications. Significance of Agriculture acts as an important task in economies of countries. Remote sensing technology has an important role for applications

Digital Image Processing Techniques for Detection and Satellite Image Processing
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ABSTRACT:-This paper describes the basic technological aspects of Digital Image Processing with special reference to satellite image processing. Basically, all satellite image- processing operations can be grouped into three categories: Image Rectification and

PERFORMANCE ANALYSIS OF SATELLITE IMAGE PROCESSING USING PANCHROMATIC AND MULTISPECTRAL IMAGES
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The field of remote sensing is a continuously growing market with applications like vegetation mapping and observation of the environment. The increase in applications is due to the availability of high quality images for a reasonable price and improved computation

TOWARDS QUANTIFYING MOVEMENT OF A MASSIVE LATERAL SPREAD USING HIGH-RESOLUTION SATELLITE IMAGE PROCESSING
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ABSTRACT During the August 15, 2007 Pisco, Peru Earthquake (Mw= 8.0), a massive liquefaction induced lateral spread occurred in Holocene marine deposits near Immediately after the earthquake several of the author's documented

Efficient GPU Techniques for Processing Temporally Correlated Satellite Image Data
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ABSTRACT Spatio-temporal processing has many usages in different scientific domains, eg, geostatistical processing, video processing and signal processing. Spatio-temporal processing typically operates on massive volume multi-dimensional data that make

A COMPUTATIONAL INTELLIGENCE APPROACH FOR EARTH RESOURCE SATELLITE IMAGE PROCESSING, CLASSIFICATION AND DECISION-MAKING
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ABSTRACT An intelligent system for processing images obtained by earth resource satellites is presented in this paper. This hybrid computational intelligent approach merges neural and fuzzy approaches in a neurofuzzy decision system for visual perception and

Hydrological modelling study with digital image processing of multi-sensor satellite data over a small high mountainous catchment
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Abstract The integration of visible and infrared satellite remote sensing information is made with ground meteorological and hydrological data to study the application of a semi- distributed temperature index model over a small high mountainous catchment in the

SATELLITE IMAGE PROCESSING WORKFLOW FOR RASAT AND GÖKTÜRK-2
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ABSTRACT We rely on Earth observation satellites to continuously observe the Earth. To be useful, raw images acquired by these satellites are processed in several levels. In this paper, automated satellite image processing operations for RASAT and Göktürk-2 images

Detection of heat-emission sources using satellite imagery and morphological image processing
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Abstract:In this paper the automatic detection of industrial heat sources is presented. The proposed method processes the thermal band images acquired by the TM sensor on board Landstat 5 satellite. It is based on a morphological image processing method which

Mapping of glacial landforms and deposits from multi-sensor satellite image processingcoupled with geological data in northern Alberta, Canada
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Surficial materials in the Athabasca river and Birch Mountains areas are mostly 25 to 11 ky- old legacies from the Laurentide ice sheet. These form an almost continuous cover over northern Alberta, Canada, where drift prospecting has been motivated by the search for

Application of satellite image processing decision support system to evaluate the soil erosion in Ethiopia
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Abstract A Satellite Image Processing Decision Support system (SIPDSS) based on multi- criteria and multi-objective decision analysis could be applied as a case study in different places of Ethiopia to reduce soil erosion on the basis of reallocation of crops according to

Development of an Image Processing System for the Large Size High Resolution SatelliteImages
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The analysis of high-resolution imagery requires more intelligent and complex image processing technique because the ground objects are captured in detail. For example, with high resolution images, the traditional pixel operation based classication would not work

Satellite Remote Sensing Data and Introduction to Image Processing
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GIS and remote sensing are linked both historically and functionally. The synergy that exists between remote sensing and GIS technologies is built on the foundation that, for many GIS based applications remote sensing data can be employed effectively and efficiently to

Estimation of Rotational Axis and Attitude Variation of Satellite by Integrated Image Processing
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As a result of the increased number of missions in space, the number of satellites that have completed their missions or have broken down has increased, leaving a great deal of space debris in orbit. Most space debris is found in GEO or low-altitude polar orbits and more

of an optimization based image processing software system for Indian forest resource assessment using Radar Imaging Satellite (RISAT-1) Images
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Image processing software system developed at Research and Development Center, Computational Intelligence Lab, Indian Institute of Science, Bangalore. Currently we are developing data processing system for processing forest land cover classification problem

A NOVEL PROCESSING CHAIN FOR SHADOW DETECTION AND PIXEL RESTORATION IN HIGH RESOLUTION SATELLITE IMAGES USING IMAGE
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Abstract:High resolution satellite images may contain shadows due to the limitations of imaging circumstances and presence of tall-standing objects. These shadows cause problems in the exploitation of such images. This paper proposes a complete processing

A Modified SVD-DCT Method for Enhancement of Low Contrast Satellite Images



A Modified SVD-DCT Method for Enhancement of Low Contrast Satellite Images
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ABSTRACT During the last decade, several techniques are proposed for contrast enhancement of a low-contrast satellite images. In this a new technique has been proposed based on the Singular Value Decomposition (SVD) and Discrete Cosine Transform (DCT). The 

satellite remote sensing and image



Image-based attitude control of a remote sensing satellite
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Abstract This paper deals with the image-based control of a satellite for remote sensing. Approach is demonstrated by simulation where the position of the satellite is obtained with the Simplified General Perturbations Version 3 model and its orientation by simulating its

Comparation and analysis methods of moderate-resolution satellite remote sensing image classification
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Abstract:-Moderate resolution remote sensing images provide broad spectrum, high spatial resolution, and rich texture information. However, most traditional classification approaches are based exclusively on the digital number of the pixel itself. Thereby only the spectral

ecosystem carbon stock mapping in small island using remote sensing: above and below ground carbon stock mapping on medium resolution satellite image
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ABSTRACT Mangrove forest is an important ecosystem located in coastal area that provides various important ecological and economical services. One of the services provided by mangrove forest is the ability to act as carbon sink by sequestering CO2 from atmosphere

Satellite image analysis of salinity areas through GPS, Remote sensing and GIS
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Abstract Soil salinity and waterlogging are two of the main constraints present in irrigated agricultural lands. The Covering 577.86 sq km area of south west Punjab (Bhatinda and Muktsar districts) a part of the vast Trans-Gangetic Plain region of the Indo-Gangetic alluvial

Satellite image analysis using remote sensing data in parts of Western Niger Delta, Nigeria
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The study investigated the effect of human activities on the environment. Normalized difference vegetation index (NDVI) was used as an indication of environmental degradation in the Western Niger Delta region for the past one-half decades. The bands used for the

Hardware implementation of a real-time image data compression for satellite remote sensing
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The image data compression is very important to reduce the image data volume and data rate for the satellite remote sensing. The chapter describes how the image data compression hardware is implemented and uses the FORMOSAT-5 Remote Sensing Instrument (RSI) as

Handbook of Satellite Remote Sensing Image Interpretation: Applications for Marine Living Resources Conservation and Management
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The location of this study is the Chesapeake Bay estuary on the eastern Mid-Atlantic coast of the United States. The Chesapeake Bay system is the largest estuary in the United States and one of the largest in the world. Chesapeake Bay is approximately 320 km long, with its

E, Satellite Remote Sensing Image based Aircraft Recognition Using Transform Features and Detect Fuzzy Clustering
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Abstract: This project presents the Recognition of object (Aircraft) in an image for better recognition based on the combination of wavelet features and correlation on shape analysis. An object can also be recognized with help of texture or appearance features through Scale

Satellite Remote Sensing Image Based Aircraft Recognition Using Wavelet and Curvelet Transforms
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Abstract: This paper deals with the accurate recognition of aircrafts in satellite images using feature extraction and classification algorithms. Automatic recognition of an aircraft is a tough task. In previous recognition method, direction estimation technique was used to bring

A Method of Content-based Image Analysis Using SVM Classifier in Data Catalogue and Archive System of Remote Sensing Satellite
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ABSTRACT To automatic analysis of the image content, an architecture of content-based image analysis component is designed, which is compatible with existing remote sensing images catalogue and archive system. Thus, indexing can be generated on images content

Evaluation of Atmospheric (MTF) Effects on Satellite Remote Sensing Image Quality
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Abstract:the nature of remote sensing requires that solar radiation pass through the atmosphere before it is collected by the sensor. Because of this, remotely sensed image, beside the information about the earth's surface, it is contaminated by atmospheric effects. In

Remote Sensing Satellite Image Fusion Using Fast Curvelet Transform
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Abstract: This paper presents a novel fusion rule via high pass modulation using Local Magnitude Ratio (LMR) in Fast Discrete Curvelet Transforms (FDCT) domain. It is based on the Fourier and wavelet transform methods, which retain rich multispectral details but less

Satellite Remote Sensing Data and Introduction to Image Processing
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GIS and remote sensing are linked both historically and functionally. The synergy that exists between remote sensing and GIS technologies is built on the foundation that, for many GIS based applications remote sensing data can be employed effectively and efficiently to

REMOTE SENSING SATELLITE IMAGE DATA RESTORATI ON PROCESSING~ ITHO UT MTF
free download

SUMMARY Ve developed an image restoration method for re~ ote sensing salel 1 j-te image data ithout MH. This method is useful for American TM and French SPOT remote sensing resource sate!! i te image processing. and ad-ditionally'We\ oere able to receive improved

Nearest Clustering Algorithm for Satellite Image Classification in Remote Sensing Applications
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Abstract-Classification of satellite images plays a vital role in remote sensing applications. Numerous algorithms have been developed and tested to classify a satellite image. The main purpose of these algorithms is to lessen the human efforts and errors in minimum time.

Orbital Remote Sensing of the Earth's Surface: A Review p. 11 Satellite and Aerial Image Classification Combining Image Derived Spectra and Physics Based Models
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A Harbor, A Bomb, A Wall--Geopolitical Context and the Emergence of America's National Reconnaissance Imaging Capability p. 10 Orbital RemoteSensing of the Earth's Surface: A Review p. 11 Satellite and Aerial Image Classification Combining Image Derived Spectra and

A Comparison of Three Image Classification Techniques for Satellite Remote Sensing
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Abstract High-resolution multi-spectral satellite observations have increased the capabilities of satellite remote sensing. The Visible Infrared Imaging Radiometer Suite (VIIRS) is aboard a polar orbiting satellite that provides daily global coverage with sub-kilometer resolution


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