Image classification supported by digital geomorphology model

Bing Zhang; Xing Li; Xia Zhang; Qingxi Tong; Lanfen Zheng

doi:10.1117/12.538653

25 September 2003 Image classification supported by digital geomorphology model

Bing Zhang, Xing Li, Xia Zhang, Qingxi Tong, Lanfen Zheng

Author Affiliations +

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538653
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Bing Zhang, Xing Li, Xia Zhang, Qingxi Tong, and Lanfen Zheng "Image classification supported by digital geomorphology model", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538653

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