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Object-oriented classification of high-resolution remote sensing image using structural feature

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2 Author(s)
Lei Li ; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, P. R. China ; Ning Shu

In this paper, an object-oriented classification method using structural feature is present. Mean-Shift algorithm is employed for multispectral band images segmentation. Straight lines are detected by Canny detection operator and Hough Transform. A new structural feature based on straight line statistics is introduced, which can be used to distinguish the artificial object and natural object in high-resolution remote sensing image. SVM is used for classification by spectral and structural features. Finally, an experiment adopting QuickBird data has been carried out to validate this method and achieved a good result.

Published in:

Image and Signal Processing (CISP), 2010 3rd International Congress on  (Volume:5 )

Date of Conference:

16-18 Oct. 2010