In China, accelerating industrialization and urbanization followinghigh-speed economic development and population increases have greatly impacted land use/coverchanges, making it imperative to obtain accurate and up t...In China, accelerating industrialization and urbanization followinghigh-speed economic development and population increases have greatly impacted land use/coverchanges, making it imperative to obtain accurate and up to date iufbimation on changes soas toevaluate their environmental effects. The major purpose of this study was to develop a new method tofuse lower spatial resolution multispectral satellite images with higher spatial resolutionpanchromatic ones to assist in land use/cover mapping.An algorithm of a new fusion method known asedge enhancement intensity modulation (EEIM) was proposed to merge two optical image data sets ofdifferent spectral ranges. The results showed that the EEIM image was quite similar in color tolower resolution multispectral images, and the fused product was better able to preserve spectralinformation. Thus, compared to conventional approaches, the spectral distortion of the fused imageswas markedly reduced. Therefore, the EEIM fusion method could be utilized to fuse remote sensingdata from the same or different sensors, including TM images and SPOT5 panchromatic images,providing high quality land use/cover images.展开更多
A simple spectral preserving image fusion technique, Edge Enhancement Color Normalized (EECN), was proposed to merge two kinds of image data. In addition, a mathematical model was also proposed to evaluate spectral pr...A simple spectral preserving image fusion technique, Edge Enhancement Color Normalized (EECN), was proposed to merge two kinds of image data. In addition, a mathematical model was also proposed to evaluate spectral property of the fused production of EECN. The results were clearly demonstrated by an image fusion experiment using Landsat-5 TM and IRS-1C Panchromatic images of Beijing, China. The visual evaluation and mathematical analysis compared with Brovey transform confirmed that the fused image of EECN is quite similar in color to the lower resolution multi-spectral images, and its space resolution is the same as the higher solution panchromatic image.展开更多
The expert system MUST (Mining Under Structures) shown in this paper and established by the authors is a preliminary expert system to solve the policy-making problems for mining under structures by means of computers ...The expert system MUST (Mining Under Structures) shown in this paper and established by the authors is a preliminary expert system to solve the policy-making problems for mining under structures by means of computers instead of humanbeing. Based on the experience of relative experts,the authors established a knowledge base about the minings under structures,researched into reasonable method to simulate thinking processes of human experts when they are solving the problems, established the network of an expert system and named it ' MUST system' . MUST system uses the method of the structural system analysis approach. A kind of methods of Turbo Prolog and Fortran 77 language alternations is designed to meet the needs of exchange information within the MUST system. Based on this kind of methods MUST system has been constructed and realised on IBM-PC computer. For verifying the correctness, suitability and reliablity of MUST system,some practical examples of minings under structures were tentatively solved using MUST system,whose results are satisfactory.展开更多
基金Project supported by the Knowledge Innovation Program of Chinese Academy of Sciences (No. KZCX3-SW-427), the National Key Basic Research Support Foundation of China (NKBRSF) (No. 2002CB410810) and the China Scholarship Council (No. 2003836044).
文摘In China, accelerating industrialization and urbanization followinghigh-speed economic development and population increases have greatly impacted land use/coverchanges, making it imperative to obtain accurate and up to date iufbimation on changes soas toevaluate their environmental effects. The major purpose of this study was to develop a new method tofuse lower spatial resolution multispectral satellite images with higher spatial resolutionpanchromatic ones to assist in land use/cover mapping.An algorithm of a new fusion method known asedge enhancement intensity modulation (EEIM) was proposed to merge two optical image data sets ofdifferent spectral ranges. The results showed that the EEIM image was quite similar in color tolower resolution multispectral images, and the fused product was better able to preserve spectralinformation. Thus, compared to conventional approaches, the spectral distortion of the fused imageswas markedly reduced. Therefore, the EEIM fusion method could be utilized to fuse remote sensingdata from the same or different sensors, including TM images and SPOT5 panchromatic images,providing high quality land use/cover images.
文摘A simple spectral preserving image fusion technique, Edge Enhancement Color Normalized (EECN), was proposed to merge two kinds of image data. In addition, a mathematical model was also proposed to evaluate spectral property of the fused production of EECN. The results were clearly demonstrated by an image fusion experiment using Landsat-5 TM and IRS-1C Panchromatic images of Beijing, China. The visual evaluation and mathematical analysis compared with Brovey transform confirmed that the fused image of EECN is quite similar in color to the lower resolution multi-spectral images, and its space resolution is the same as the higher solution panchromatic image.
文摘The expert system MUST (Mining Under Structures) shown in this paper and established by the authors is a preliminary expert system to solve the policy-making problems for mining under structures by means of computers instead of humanbeing. Based on the experience of relative experts,the authors established a knowledge base about the minings under structures,researched into reasonable method to simulate thinking processes of human experts when they are solving the problems, established the network of an expert system and named it ' MUST system' . MUST system uses the method of the structural system analysis approach. A kind of methods of Turbo Prolog and Fortran 77 language alternations is designed to meet the needs of exchange information within the MUST system. Based on this kind of methods MUST system has been constructed and realised on IBM-PC computer. For verifying the correctness, suitability and reliablity of MUST system,some practical examples of minings under structures were tentatively solved using MUST system,whose results are satisfactory.
