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Volumn 42, Issue 11, 2004, Pages 2670-2679

The development of superspectral approaches for the improvement of land cover classification

Author keywords

Algorithms; Data calibration; Hyperspectral sensors; Image processing; Noise measurement

Indexed keywords

ALGORITHMS; BANDWIDTH; DATA ACQUISITION; DATA REDUCTION; ELECTROMAGNETIC WAVES; IMAGE SENSORS; INFRARED RADIATION; LAND USE; SIGNAL TO NOISE RATIO; SPECTROMETERS;

EID: 9944260908     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2004.835347     Document Type: Review
Times cited : (27)

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    • Cudahy, T.J.1    Hewson, R.2    Huntington, J.F.3    Quigley, M.A.4    Barry, P.S.5
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    • The effect of training strategies on supervised classification at different spatial resolutions
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    • Land use classification in mountainous area: Integration of image processing, digital elevation data and field knowledge, application to Nepal
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.