DocumentCode

3583605

Title

Five classes of urban growth identify model based on the SOFM classification results of remote sensing data

Author

Qin, Dai ; Jianwen, Ma

Volume

2

fYear

2005

Firstpage

1463

Lastpage

1466

Keywords

Cities and towns; Information science; Laboratories; Neural networks; Radiometry; Remote sensing; Roads; Satellites; Solid modeling; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International

Print_ISBN

0-7803-9050-4

Type

conf

DOI

10.1109/IGARSS.2005.1525401

Filename

1525401