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Proceedings Paper

Image classification supported by digital geomorphology model
Author(s): Bing Zhang; Xing Li; Xia Zhang; Qingxi Tong; Lanfen Zheng
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Paper Abstract

In some complicated terrain area, such a loess plateau of China, it is very difficult to get higher accuracy of landuse classification only depending on the traditional spectral statistics methods, especially the image pixel size is much larger than the geomorphology units. In order to improve the image classification results, large scale relief map has been used to create the digital geomorphology model(DGM). DGM can be used to do the pixel unmixing works, specially reducing the influence of terrain shadow. Applying fuzzy mathematics theory, the DGM has been used to correct the digital image classification result, so as to create more accurate landuse map. In addition, this method is also helpful to find some minor objects in low spatial resolution images.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538653
Show Author Affiliations
Bing Zhang, Institute of Remote Sensing Applications, CAS (China)
Xing Li, Institute of Remote Sensing Applications, CAS (China)
Xia Zhang, Institute of Remote Sensing Applications, CAS (China)
Qingxi Tong, Institute of Remote Sensing Applications, CAS (China)
Lanfen Zheng, Institute of Remote Sensing Applications, CAS (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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