Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification

International Journal of Remote Sensing

Volumn 34, Issue 19, 2013, Pages 6914-6930

  Zhen, Zhen ^a   Quackenbush, Lindi J ^b   Stehman, Stephen V ^a   Zhang, Lianjun ^a  

^a STATE UNIVERSITY OF NEW YORK   (United States)

^b STATE UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

REMOTE SENSING; SENSORS;

ACCURACY ASSESSMENT; CLASSIFICATION ACCURACY; GROUND CONDITIONS; OBJECT-BASED CLASSIFICATIONS; SAMPLE SELECTION; SELECTION SCHEME; SPATIAL DEPENDENCE; SUPERVISED CLASSIFICATION;

GEOMETRY;

ACCURACY ASSESSMENT; CLASSIFICATION; DATA SET; MODEL VALIDATION; POLYGON; SAMPLING;

EID: 84880164554     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.810822     Document Type: Article

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