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Improving the accuracy of image-based forest fire recognition and spatial positioning

Science china(Technological sciences) 2010年第S1期53卷 184-190页

作者： jiang lili 1,qi qingwen 1,zhang an 1,guo chaohui 2 & cheng xi 1,3.1 institute of geographical sciences and natural resources research,chinese academy of sciences,beijing 100101,china 2 china Center for resources Satellite Data and Applications,beijing 100094,china 3Graduate University of chinese academy of sciences,beijing 100049,china institute of geographical sciences and natural resources research Chinese Academy of Sciences Beijing China china Center for resources Satellite Data and Applications Beijing China Graduate University of chinese academy of sciences Beijing China

Forest fires are frequent natural *** is necessary to explore advanced means to monitor,recognize and locate forest fires so as to establish a scientific system for the early detection,real-time positioning and quick fighting of forest *** paper mainly expounds methods and algorithms for improving accuracy and removing uncertainty in image-based forest fire recognition and spatial ***,we discuss a method of forest fire recognition in visible-light *** are four aspects to improve accuracy and remove uncertainty in fire recognition:(1)eliminating factors of interference such as road and sky with high brightness,red leaves,other colored objects and objects that are lit up at night,(2)excluding imaging for specific periods and azimuth angles for which interference phenomena repeatedly occur,(3)improving the thresholding method for determining the flame border in image processing by adjusting the threshold to the season,weather and region,and (4)integrating the visible-light image method with infrared image ***,we examine infrared-image-based methods and approaches of improving the accuracy of forest fire recognition by combining the spectrum threshold with an object feature value such as the normalized difference vegetation index and excluding factors of disturbance such as interference signals,extreme weather and high-temperature ***,a method of visible analysis to enhance the accuracy of forest fire positioning is examined and realized;the method includes decreasing the visual angle,selecting central points,selecting the largest spots,and judging the selection of fire spots according to the central *** studies are examined and the results are found to be satisfactory.

关键词： forest fire monitoring spatial positioning accuracy improvement

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Optimization of mathematical models for thematic maps

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Science china(Technological sciences) 2010年第S1期53卷 15-24页

作者： qi qingwen1,zhang An1,jiang {3.1,ZOU xiuPing2,XU Li3 & cheng xi1,4 1 institute of geographical sciences and natural resources research,chinese academy of sciences,beijing 100101,china 2 institute of Policy and Management,chinese academy of sciences,beijing 100080,china 3 Taishan University,Taian 271021,china 4 Graduate University of chinese academy of sciences,beijing 100049,china institute of geographical sciences and natural resources research Chinese Academy of Sciences Beijing China institute of Policy and Management Chinese Academy of Sciences Beijing China Taishan University Taian China Graduate University of chinese academy of sciences Beijing China

The thematic map is a major class of maps designed to demonstrate particular features or concepts,functioning as an indispensable tool in geographical *** process of thematic mapping is one into which geographical research goes deeply and *** key activity and course of thematic map production is the use of mathematical models to create thematic data ***,the selection and optimization of mathematical models is in the forefront of thematic map *** theoretical foundations,mechanisms and methods of mathematical model optimization are expounded in this paper,including two approaches,the phase by phase mode and the multi-aim scheme balance *** studies in eco-environment mapping and emergency mapping are described and analyzed,with a hierarchical analysis method being used in the model optimization for eco-environment fragility and sensitivity assessment mapping in Beibuwan (Guangxi) District,the dynamic system (DS) method being used in the model optimization for ecological security adjustment mapping in xishuang Banna,Yunnan province,and the multi-phase mode being used in the models for forest fire and infectious diseases mapping.

关键词： thematic map mathematic model optimization

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