最新刊期

    1 1996
    • Issue 1, (1996) DOI: 10.11834/jrs.1996005
      摘要:Employing the model of a layer of continuous random medium with anunderlying rough surface, the bistatic scattering and back-scattering coefficients arecalculated. By using the reciprocity, the emissivity is also calculated. Numerical results simulate the change of the backscattering and emissivity of the vegetationcanopies and their correlation during whole growth period. Theoretical results arecompared with the measurements of active and passive remote sensing of severalvegetation canopies. The correlated characteristics of microwave active and passiveremote sensing are discussed.  
      关键词:correlation of active and passive;simulation;comparison with data   
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    • Issue 1, (1996) DOI: 10.11834/jrs.1996009
      摘要:Spatial Decision Support System (SDSS) is a new type of Spatial information Systems based on the integration between conventional Decision SupportSystem (DSS) and Geographic Information System (GIS ). In this paper, some interested problems are discussed :1 ) technical characteristics of SDSS and comparison between SDSS and GIS, SDSS and Expert System (ES); 2) designmethodology of SDSS and System Structure of SDSS General SoftwareTool (GST ) and 3 ) the key technical problems and their solving methods in development of SDSS/GST. It,is an effective way for development and application ofSDSS to formulate the concept of " Application frame and its instancing" inSDSS.  
      关键词:Spatial decision support system;Geographic information system;Decision support system;Software tool   
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    • Issue 1, (1996) DOI: 10.11834/jrs.1996004
      摘要:Imaging Spectrometer is a new developed remote sensing instrument. A newprocessing method of its data-Constrained Spectral Mixture Analysis (CSMA) is presented in this paper. CSMA looks every pixel as mixture of some endmembers. Thecontent of each endmember in a pixel can be calculated using Imaging Spectrometerdata. This is a problem of getting optimal solution of the spectral mixture equation.CSMA gets the optimal solution of the equation with some conditions and a fastalgorithm is proposed here. This result is more interesting than traditional classificationbecause it is more quantitative.  
      关键词:Multispectral mapping;Constrained spectral mixture analysis;Optimalsolution   
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    • Jiang Jun
      Issue 1, (1996) DOI: 10.11834/jrs.1996008
      摘要:To improve the accuracy and vertical resolution of conventional atmosphericdata profile at lower atmosphere, which is urgently required for satellite meteorology,and fulfil the requirement of upper atmospheric research, we adopt the idea of CTtechnique and develope a so-called" Satellite Tomographic Scanning Retrieval Method".Using U. S. Standard Atmosphere, we have optimized the spectral channels inideal condition. We have also conducted a numerical simulation based on a set of 7real temperature profiles from NASA. The results of our simulations showed that theaverage improvement of the accuracy of retrievd temperatures over those using theconventional methods was about 40%, which was significant.  
      关键词:Nadir observation;Limb scanning;Tomographic scanning;Retrievalmethods   
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    • Issue 1, (1996) DOI: 10.11834/jrs.1996002
      摘要:A method of data compression for 3D spectrum-image data based on contour-texlure decomposition is described. According to the features of 3D spectrum-imagedata is produced by an imaging spectrometer. One of the 2D monochromatic imageswhich constitute the 3D spectrumimage data is decomposed into a set of contours andthe texture surounded by their contours with contour-texture decomposition. It is thefact that 3D spectrum-image data are a pile of monochromatic forages which extendalong spectral direction, one scene on ground yields the same contour in eachmonochromatic image With the exception of texture. It is enough to encodethe contours of one of the monochromatic images. For the texture variety, we encodethe polynomial coefficients corresponding each monochromatic image. The experimentwith the original 3D spectrum-image obtained by the 64 Bands Airborne ImagingSpectrometer developed by our country in the region Darwin, Australia shows that acompression ratio 379:1 can be achieved when the texture coefficients are expressed bya zero order polynomial.  
      关键词:D data compression;Contour-texture decomposition;Imaging Spectroscopy   
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    • Issue 1, (1996) DOI: 10.11834/jrs.1996003
      摘要:With development of Imaging Spectrometer, the study of geological spectralremote sensing has been stepping into the stage of mineral direct identification fromlithological distinguish. An important approach is to extract mineral information fromimaging spectrometer data. In this paper, a spectral absorption identification model hasbeen developed for mineral mapping. The key technique of this model is spectralabsorption index (SAI). Applying Hapke spectral Model, the relationship between SAIand spectral absorption coefficient (d) or /and single scattering albedo (w ) is estab lished. The relationship between SAI image and spectral absorption depth is analyzedalso. Due to the quantitative relation between mineral content and absorption depth,the SAI will provide the quantitative information of mineral composite. The SAI hasbeen applied in image processing and mineral mapping of FIMS MAIS and GERIS inHatu area, Tarim Basin and Pine Creek of Australia. The study shows SAI is aneffective method to extract mineral type and abundance from hyperspectral image.  
      关键词:Imaging spectrometry;Spectral absorption;Mineral mapping   
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    • Zhang Jixian
      Issue 1, (1996) DOI: 10.11834/jrs.1996001
      摘要:It is important to consider the role of scale for texture analysis. In this paper, a texture detector based on 2D Gabor function and visual textural perception is established first, then based on the texture detector and wavelet theory of multiscaledecomposition, a multiscale texture analysis method is proposed, and techniques formultiscale texture feafure fusion are advanced according to the lateral inhibition andend-inhibition in neurodynamics. The multiscale texture analysis techniques give representations between spatial space and Fourier space, and provide a hierarchical analysisframe for image fexture. They can detect different scale textural features, correspondsto the visual texture perception, and have the ability to recognize textureimage effectively.  
      关键词:Texture;Texture analysis;Multiscale;Wavelet;2D Gabor function;Feature fusion   
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    • Issue 1, (1996) DOI: 10.11834/jrs.1996007
      摘要:By discussing the application of TM image in Be6ing Miyun reservoir, thispaper give an example of how TM data can be used in reservoir situation monitoring.The results show that TM image is effective in monitoring water area variation,estimating water volume retained, detecting reservoir base shape, and analysing ecoenvironment around. It is of important significance to spread extensively the use ofTM data to reservoir management area.  
      关键词:remote sensing;TM forage;Reservoir situation monitoring   
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    • Issue 1, (1996) DOI: 10.11834/jrs.1996006
      摘要:The objective of this database for the seismic hazards is to develop techniques for assessing and analyzing the distribution of seismic hazards through the useof airborne remote sensing data and GIS techniques. It is helpful to provide theseismic hazard relief to the people in the earthquake-striken areas.The database in ILWIS and PC ARC/INFO is based on the airborne remotesensing data of Tangshan in 1976. It contains three steps: the first is to build thegeographic database supported by GIS, including the geographic coordinates,rivers, administrative areas, roads, railways, residential areas; the second is tobuild the seismic hazard database by using the real-time airborne remote sensingdata, like aerial photography, to classify the different levels of the damaged residential areas, roads, railways, and the surface rifts, etc.; the third is to producethe enveloped lines in the high intensity areas to assess the loss of the seismicbazards.  
      关键词:Seismic Hazards;Assessment of Loss;airborne remote sensing;GIS   
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