A hybrid method combining pixel-based and object-oriented methods and its application in Hungary using Chinese HJ-1 satellite images

International Journal of Remote Sensing

Volumn 34, Issue 13, 2013, Pages 4655-4668

  Li, Xiaojiang ^a,b   Meng, Qingyan ^a   Gu, Xingfa ^a   Jancso, Tamas ^c   Yu, Tao ^a   Wang, K ^a   Mavromatis, Sébastien ^d  

^a INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c UNIVERSITY OF WEST HUNGARY   (Hungary)

^d AIX MARSEILLE UNIVERSITY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ECOLOGY; MAXIMUM LIKELIHOOD; PIXELS; SATELLITE IMAGERY;

CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; MAXIMUM LIKELIHOOD CLASSIFIERS; OBJECT ORIENTED METHOD; OBJECT-ORIENTED PROCESSING; PIXEL BASED CLASSIFICATIONS; SPECTRAL SEPARABILITY; WATERSHED SEGMENTATION;

IMAGE SEGMENTATION;

ACCURACY ASSESSMENT; EXPERIMENTAL STUDY; IMAGE RESOLUTION; LAND COVER; LANDSCAPE ECOLOGY; MAXIMUM LIKELIHOOD ANALYSIS; MIXED FOREST; PIXEL; SATELLITE IMAGERY;

BUDAPEST; HUNGARY;

EID: 84876437564     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.780669     Document Type: Article

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