Title :
Real time runway detection in satellite images using multi-channel PCNN
Author :
Hualiang Zhuang ; Kay Soon Low
Author_Institution :
Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China
Abstract :
This paper proposes a pulse coupled neural network with multi-channel (MPCNN) linking and feeding fields for multispectral image processing. Different from the conventional PCNN, pulse based RBF units are introduced into the model neurons of PCNN to determine the fast links among neurons with respect to their spectral feature vectors and spatial proximity. This MPCNN can be implemented in parallel on a FPGA chip to perform real-time image segmentation and edge detection. Based on the output of the neural circuits, modified Hough Transform and landmark feature extraction algorithm is designed to perform airport runway detection in satellite images. Experimental results show that the proposed parallel MPCNN circuits drastically improve the processing speed over the popular seeded region growing (SRG) algorithm for segmentation of RGB satellite images. Furthermore the detection accuracy of the proposed scheme remains competitive.
Keywords :
Hough transforms; edge detection; feature extraction; field programmable gate arrays; geophysical image processing; image segmentation; neural nets; remote sensing; FPGA chip; Hough Transform; RGB satellite images; airport runway detection; edge detection; feeding fields; landmark feature extraction algorithm; linking fields; multichannel PCNN; multispectral image processing; neural circuits; parallel MPCNN circuits; pulse coupled neural network; real time runway detection; real-time image segmentation; satellite images; seeded region growing; spatial proximity; spectral feature vectors; Feature extraction; Image edge detection; Image segmentation; Joining processes; Neurons; Satellites; Vectors; Pulse coupled neural network; field programmable gate array; radial basis function neural network; runway detection; satellite image; seeded region growing;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4316-6
DOI :
10.1109/ICIEA.2014.6931168
