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《Remote Sensing Technology and Application》 2002-05
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Managing and Distributing Remote Sensing ImagesBased on Metadata and Microimage

DENG Xiao\|lian, SU Li\|hong, WANG Jin\|di, LI Xiao\|wen, ZHAO Hong\|rui (Institute of Resources Sciences, Beijing Normal University, Beijing 100875, China)Abstract:Remote sensing images acquired by the sensors at platforms near land surface, airplane and satellite, usually have large volume and miscellaneous data formats. So it is not feasible to browse remote sensing images on Internet so that the users can evaluate the quality of images and select the suitable images. Moreover, it is inefficient to read and transfer remote sensing images in a standard image viewer real\|timely due to their miscellaneous data formats. In order to clear up the problems, the metadata and microimage are extracted from various remote sensing images, managed by Microsoft SQL server, and browsed and evaluated on Internet to decide which images are the real wanted. The process of working includes the 4 steps. 1) Create metadata for the remote sensing images. The metadata consist of image data format, longitude and latitude of image range, date and time, spatial resolution, sensor attributes (field of view, bands, performance and precision etc), platform attributes (stand near land surface, airplane or satellite), flight path or orbit attributes of aerial and space observation etc. 2) Create microimage for remote sensing image. Firstly, the remote sensing images are projected to the same coordinate system by the geometric correction, so all images can be matched correctly. Then the microimages are built through 1∶10 or 1∶5 cubic convolution sampling the corrected images.3). Build a database to store and manage the metadata and microimages, and create pointers to hyperlink the remote sensing images self.4) Develop the browse interface, publish the remote sensing image base on Internet, and receive the users' order forms. The wanted images will be sent on CDROM if the orders are accepted. The interface is visualized. Here, a color spectrum is used to express the bands. A clock is for  
【Fund】: 国家重点基础研究发展规划项目(G2000077900);; 我国典型地物标准波谱数据库(2002AA130010)。
【CateGory Index】: TP751
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