A new conception of image texture and remote sensing image segmentation based on Markov random field |
| |
| Authors: | Yan Gong Ning Shu Jili Li Liqun Lin Xue Li |
| |
| Institution: | GONG Yan1,SHU Ning1,2,LI Jili3,LIN Liqun4,LI Xue1 1. School of Remote Sensing , Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China 2. State Key Laboratory of Information Engineering in Surveying,Mapping , Remote Sensing,China 3. Faculty of Environmental Studies,York University,2275 Bayview Avenue Toronto,Ontario,Canada 4. Faculty of Resource , Environmental Science,Hubei University,Wuhan 430062,China |
| |
| Abstract: | The texture analysis is often discussed in image processing domain, but most methods are limited within gray-level image or color image, and the present conception of texture is defined mainly based on gray-level image of single band. One of the essential characters of remote sensing image is multidimensional or even high-dimensional, and the traditional texture conception cannot contain enough information for these. Therefore, it is necessary to pursuit a proper texture definition based on remote sensing i... |
| |
| Keywords: | hyperspectral multispectral MRF Gibbs model texture segmentation |
| 本文献已被 CNKI SpringerLink 等数据库收录！ |
|
