Title :
Multiple-class Land Cover Mapping at the Sub-pixel Scale using an Innovated CA Model
Author :
Yi, Chang ; Pan, Yaozhong ; Zhang, Jinshui
Author_Institution :
Key Lab. of Environ. Change & Natural Disaster, Beijing Normal Univ., Beijing
fDate :
July 31 2006-Aug. 4 2006
Abstract :
This paper has put forward an innovated CA model to sub-pixel mapping. It has the advantage of easily constructing the rules of CA and the potential for controlling the spatial scale in sub-pixel mapping freely. The neural networks have played an important role in the whole work.
Keywords :
cellular automata; geophysics computing; neural nets; terrain mapping; Cellular Automata model; land cover mapping; neural networks; subpixel mapping; Degradation; Educational technology; Feedforward neural networks; Filters; Hopfield neural networks; Image analysis; Neural networks; Paper technology; Pixel; Remote sensing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
DOI :
10.1109/IGARSS.2006.249
