Title :
Five classes of urban growth identify model based on the SOFM classification results of remote sensing data
Author :
Qin, Dai ; Jianwen, Ma
Keywords :
Cities and towns; Information science; Laboratories; Neural networks; Radiometry; Remote sensing; Roads; Satellites; Solid modeling; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
Print_ISBN :
0-7803-9050-4
DOI :
10.1109/IGARSS.2005.1525401
