Improving urban impervious surface classification by combining Landsat and PolSAR images: A case study in Kitchener-Waterloo, Ontario, Canada

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2015-November, Issue , 2015, Pages 1917-1920

  Tan, Weikai ^a   Liao, Renfang ^a   Du, Yikang ^a   Lu, Jun ^b   Li, Jonathan ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

^b NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

image classification; land surface; Polarimetric synthetic aperture radar (PolSAR); remote sensing

Indexed keywords

EID: 84962531651     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2015.7326169     Document Type: Conference Paper

References (10)

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