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�������պ����ѧѧ�� 2007, Vol. 33 Issue (04) :440-444    DOI:
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Investigation of cloud detecting for satellite images based on immune coding principle
Zheng Hong, Cao Qiong, Han Yu*
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� To utilize the texture diversity of clouds and land in remotely sensed images, a novel describing method for image targets identification with complex background was proposed. The properties and classification of object image describing immune primitives was computed by the correlation between antibody property and the specificity of amino acid residues. The affinity formula of the training image-s immune primitives was presented by statistical analysis, which bears an analogy with the lowest amino acids combinative energy according to the biological immune antibody coding principle, to achieve the finite dimension object image features- optimize combination. Furthermore, The methodology was employed in the cloud contamination area detection. The cloud antibody has been configured and the cloud antibody has been tested on 200 images and more than 97% of results were correct, which proofed the validity of immune describing method for object image recognition in complex background.
Keywords�� satellite image   cloud detecting   artificial immune     
Received 2006-05-09;


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֣��, ����, ����.�������߿��������������ͼ����̽��[J]  �������պ����ѧѧ��, 2007,V33(04): 440-444
Zheng Hong, Cao Qiong, Han Yu.Investigation of cloud detecting for satellite images based on immune coding principle[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2007,V33(04): 440-444
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