DocumentCode :
1798700
Title :
Shadow detection in color aerial sensing images based on adaptive pulse coupled neural network
Author :
Bu Min ; Huang Wei ; Wang Chen ; Lu Yao
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
fYear :
2014
fDate :
7-9 July 2014
Firstpage :
521
Lastpage :
525
Abstract :
Shadows in most color aerial sensing images with high resolutions are evident, and their existence causes the image degradation and obstructs the image interpretation. In this paper, we propose Pulse Coupled Neural Network (PCNN) algorithm to detect shadows in color aerial images. Experiments and comparisons indicate that the proposed PCNN algorithm is feasible and effective to shadow detection in practical application.
Keywords :
edge detection; geophysical image processing; image colour analysis; image resolution; neural nets; remote sensing; PCNN algorithm; adaptive pulse coupled neural network; color aerial sensing images; high-resolution images; image degradation; image interpretation; shadow detection; Accuracy; Adaptation models; Biological neural networks; Image color analysis; Neurons; Sensors; color aerial sensing images; pulse coupled neural network (PCNN); shadow detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3902-2
Type :
conf
DOI :
10.1109/ICALIP.2014.7009848
Filename :
7009848
Link To Document :
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