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- Multispectral_pattern_recognition abstract "Multispectral remote sensing is the collection and analysis of reflected, emitted, or back-scattered energy from an object or an area of interest in multiple bands of regions of the electromagnetic spectrum (Jensen, 2005). Subcategories of multispectral remote sensing include hyperspectral, in which hundreds of bands are collected and analyzed, and ultraspectral remote sensing where many hundreds of bands are used (Logicon, 1997). The main purpose of multispectral imaging is the potential to classify the image using multispectral classification. This is a much faster method of image analysis than is possible by human interpretation.The Iterative Self-Organizing Data Analysis Technique (ISODATA) algorithm used for Multispectral pattern recognition was developed by Geoffrey H. Ball and David J. Hall, working in the Stanford Research Institute in Menlo Park, CA. They published their findings in a technical report entitled: ISODATA, a novel method of data analysis and pattern classification (Stanford Research Institute, 1965.) ISODATA is defined in the abstract as: 'a novel method of data analysis and pattern classification, is described in verbal and pictorial terms, in terms of a two-dimensional example, and by giving the mathematical calculations that the method uses. The technique clusters many-variable data around points in the data's original high- dimensional space and by doing so provides a useful description of the data.' (1965, pp v.)ISODATA was developed to facilitate the modelling and tracking of weather patterns.".
- Multispectral_pattern_recognition wikiPageExternalLink GetTRDoc?Location=U2&doc=GetTRDoc.pdf&AD=AD0699616.
- Multispectral_pattern_recognition wikiPageID "25257017".
- Multispectral_pattern_recognition wikiPageRevisionID "524774385".
- Multispectral_pattern_recognition hasPhotoCollection Multispectral_pattern_recognition.
- Multispectral_pattern_recognition subject Category:Classification_algorithms.
- Multispectral_pattern_recognition subject Category:Imaging.
- Multispectral_pattern_recognition type Abstraction100002137.
- Multispectral_pattern_recognition type Act100030358.
- Multispectral_pattern_recognition type Activity100407535.
- Multispectral_pattern_recognition type Algorithm105847438.
- Multispectral_pattern_recognition type ClassificationAlgorithms.
- Multispectral_pattern_recognition type Event100029378.
- Multispectral_pattern_recognition type Procedure101023820.
- Multispectral_pattern_recognition type PsychologicalFeature100023100.
- Multispectral_pattern_recognition type Rule105846932.
- Multispectral_pattern_recognition type YagoPermanentlyLocatedEntity.
- Multispectral_pattern_recognition comment "Multispectral remote sensing is the collection and analysis of reflected, emitted, or back-scattered energy from an object or an area of interest in multiple bands of regions of the electromagnetic spectrum (Jensen, 2005). Subcategories of multispectral remote sensing include hyperspectral, in which hundreds of bands are collected and analyzed, and ultraspectral remote sensing where many hundreds of bands are used (Logicon, 1997).".
- Multispectral_pattern_recognition label "Multispectral pattern recognition".
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- Multispectral_pattern_recognition wasDerivedFrom Multispectral_pattern_recognition?oldid=524774385.
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