DISCUSSIONS ON THE MODEL OF GIS DATA FUSING INTO IMAGE UNDERSTANDING OF REMOTE SENSING
Jian Lin · Computing Techniques For Giophysical and Geochenical Exploration · 2002
This paper discusses the condition of image understanding of remote sensing (RS) using numerical analysis of electromagnetic wave, high spectrum and artificial intelligence. It summarizes the problems of the data from geographic information system (GIS) fusing into RS and analyses the characteristics and capability of the expert system based on the data excavating, neural networks and evolution computation. Neural networks and evolution computation have the characteristics of self-adaptive, parallel, the capabilities of fusing the various data and processing the knowledge. Evolution computation has the capability of optimizing selection by regrouping, variation and coping. The model of neural networks based on evolution computation was built. The data of GIS is fused through out the modeling when the image understanding is running. The fusion is high-level one of GIS with RS. The model can realize the data fusion of GIS into image understanding of RS with a better performance than that by the expert system based on the data excavating.