最新刊期
      卷 ， 期 2 ， 1994
      • Issue 2, (1994) DOI: 10.11834/jrs.1994012
        摘要：This paper is the second part of“Correction of the effects of atmo-sphere on NOAA-AVHRR image”.In the first part,we have introduced the princi-ple and model.In this part,we will introdece the method for solving multiscatte-ring equation and the match between TOVS data and AVHRR image. About the sol-ving of multiscattering equation,we have absorbed many research result,but,becausewe have known the radiation at the top of atmosphere and the reflectance of the sur-face is unknown,so it is difficult to use the foreword calculation method.To solvethis problem,a variable of ratio between total radiance and direct radiance has beenintroduced and a efficacious method has been proposed.In chapter 3 of this paperwe will discuss the program and in chapter 4 some experiment results will be ana-lysed and some future work which may be important will be proposed.After morethan one year’s experiment,it is proved that the program is dependable and efficientand can be used routinly.  
        关键词：AVHRR;Correction of atmospheric effects;TOVS   
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      • Issue 2, (1994) DOI: 10.11834/jrs.1994014
        摘要：Based on the analysis of biophysical meaning of spectral parameters,this paper discussed the possible correct way to establish the remote sensing modelfor crop yield estimation. Authors believe that it is the best way to solve this problem by combining info-rmation contained in visible band, near-infrared band and thermoinfrared band data.Results show that it is a necessary step to eliminate non-Lambert effects of targetsbefore AVHRR channel 1 and channel 2 data to be used.The space scale and thenumber of parameters of crop yield estimation will be reduced,if remote sensingmodel for crop yield estimation is successful.It means remote sensing model will bemore practical than other models.  
          
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      • Gao Feng
        Issue 2, (1994) DOI: 10.11834/jrs.1994013
        摘要：his paper investigated the regionalization problem of remote sensedimage and generated the regionalization map using remote sensed image and otherthematic maps such as soil type and landuse etc.The paper also introduced the multi-dimension bright value overlap index to select the best bands compose,and fulfilledthe remote sensed image classification on the base of geographic information system.Finally,a rapid resample program and a fast Bayes classifier were provided,bothmethods used the computer base memory as large as possible,so they were much fastthan usual methods.All methods above were examined in the rice information extra-ction in Wuxi county,Jiangsu Province.  
        关键词：geographic information system;microcomputer application;remote se-nsing;image processing   
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