Remote sensing technology is introduced by many related research as an efficient method to monitor dynamic change of lakes.But most of them only pay attention to lake area change,less to the information extraction of lake shape.In this paper,Qian′an Group Lakes are taken as the study objects,and lake objects of two periods are obtained by the segmentation of TM images in 1989 and 2001,then shape character vectors of each object are extracted using geometric invariance Radon descriptor.Similarity indices of each lake object between two periods are also computed according to the definition,so shape spatial-temporal variation of lake objects can be quantitatively described.Through information mining for object-oriented database in which shape character vector and similarity indices are saved,the obtained information is more abundant and efficient than that by traditional area change detection of lakes.These provide quantitative base for devising effective conservation measures to prevent lake drying up further.
LI Xiao-feng, ZHANG Shu-qing, NA Xiao-dong, YU Huan, PAN Xin
. Shape Change Remote Sensing Information Extraction of Lakes in Qian'an Group Lakes Based on Radon Descriptor[J]. SCIENTIA GEOGRAPHICA SINICA, 2009
, 29(3)
: 421
-426
.
DOI: 10.13249/j.cnki.sgs.2009.03.421
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