CBERS Digital Image Processing And Applying In Dynamic Monitoring Of Land Use Change In Karst Areas

With the standard processing of 29 remote sensing images of Guizhou province from CBERS-01 and the experiment on CBERS-01 in digital image enhancement technique of karst mountainous areas as the studying emphasis, the paper chooses Duyun city as the typical region to study dynamic monitoring of land use change in karst areas and discuss the best image processing and sorting methods of land-use with CBERS-01.With 3S (GIS, GPS and RS) techniques as the background and remote sensing digital image processing technique as the support, CBERS-01/02 as the remote sensing data resource, this paper carries out the study with such professional software as ArcGIS8.3 and ARCview .In the course of remote sensing digital image preparation, the paper, based on many experiments, chooses histogram match for radiation correction, texture filter method for strip noise reduction, and, with TM image in 1996 as the standard, carries out geometric correction and re-sampling of multi-band combined colored image by means of binary multinomial and closest pixel, with the error of one pixel. In the mosaic experiment of CBERS-01, this paper chooses the method of one-track multi-band histogram mosaic plus inter-track histogram mosaic to decrease the color difference of images and improve the quality of images.In course of image enhancement processing, this paper, by the means of radiation enhancement, spatial enhancement, image operation, color enhancement and RS data merge, thinks that the combined image by textural information image and original image can reflect both detail information and textural information while carrying out non-directional edge of the linear stretch image. Then the paper introduces vegetation indexes and extracts automatically the vegetation information through non-linear ratio. By comparison of K-L change and K-T change, this paper thinks tasseled cap change can separate vegetation from soil better. In addition, on the basis of RGB-IHS and principle component analysis, this paper carries out a multi-spectral image merge experiment of CBERS-01 with ASTER, TM and SPOT, then makes a comparison on CBERS-01 and TM from the information of brightness, texture and edge, and macro characteristics. Finally this paper establishes ten image databases including non-linear ratio, non-linear stretch, ratio method, difference method, vegetation indexes (NDVI, RVI, DVI, PVI, SAVI) and spatial transform of principle component.The paper, with a special reference to Duyun city and on the basis of...