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