Share Email Print
cover

Proceedings Paper

Shadow detection of the high-resolution remote sensing image based on pulse coupled neural network
Author(s): Wei Huang; Yu Xiao; Shan Lu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Traditional shadow detection methods are usually detected shadow areas by the single threshold in shadow feature map. This leads to the detection results susceptible to affect by noise, and some special target (high-bright objects and green vegetation etc.) susceptible to misdetection. In this paper, a shadow detection method is proposed based on pulse coupled neural network (PCNN). The model can ignore small differences of pixels values in one area, because the network output is not only associated with the pixel brightness but also associated with pixel spatial location. Firstly, a new shadow feature map is build. Then PCNN model is applied to get optimal detection result with max entropy. The experimental results showed that the proposed model performed better than the single threshold models.

Paper Details

Date Published: 23 November 2011
PDF: 7 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80060Q (23 November 2011); doi: 10.1117/12.901852
Show Author Affiliations
Wei Huang, Shanghai Univ. (China)
Yu Xiao, Shanghai Univ. (China)
Shan Lu, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications

© SPIE. Terms of Use
Back to Top