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Volumn 40, Issue 2W3, 2014, Pages 25-29

Classifier fusion of high-resolution optical and synthetic aperture radar (SAR) satellite imagery for classification in urban area

Author keywords

Classification; Classifier fusion; Feature extraction; Optical images; SAR images

Indexed keywords

GEOMETRICAL OPTICS; IMAGE CLASSIFICATION; IMAGE FUSION; RADAR IMAGING; REMOTE SENSING; SATELLITE IMAGERY; SPACE-BASED RADAR;

EID: 84924146006     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprsarchives-XL-2-W3-25-2014     Document Type: Conference Paper
Times cited : (6)

References (14)
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  • 2
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    • (2013) Advances in Artificial Intelligence, Research Article , vol.2013 , pp. 1-11
    • Waleed, A.1    Kh, A.2
  • 8
    • 0005094193 scopus 로고    scopus 로고
    • Visible infrared and radar imagery fusion for geological application: A new approach using DEM and sun-illumination model
    • Ricchetti, E., 2001, Visible infrared and radar imagery fusion for geological application: A new approach using DEM and sun-illumination model. International Journal of Remote Sensing, 22(11):2219-2230.
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  • 10
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  • 11
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    • Integration of optical and synthetic aperture radar (SAR) images to differentiate grassland and alfalfa in Prairie area
    • Hong, G., Zhang, A., Zhou, F., Brisco, B., 2014, Integration of optical and synthetic aperture radar (SAR) images to differentiate grassland and alfalfa in Prairie area, International Journal of Applied Earth Observation and Geoinformation, 28, pp. 12-19.
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.