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Managing and distributing remote sensing images based on metadata and microimage

机译:基于元数据和微图管理和分发遥感图像

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摘要

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 for the users to browse remote sensing images and evaluate the quality of images and select the suitable images on Internet. Moreover, it is inefficient to read and transfer remote sensing images real-timely in a standard image viewer 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 the database management system software, 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 time and landscape is for days in one year. And place is located by moving your mouse on the map. The pixel sizes are shown through levels on a pyramid. By this metadata and microimage approach, the remote sensing images can be browsed, evaluated and ordered on Internet conveniently. It is feasible way to manage the remote sensing images.
机译:遥感图像在陆地表面,飞机和卫星附近的平台上获取的图像通常具有大的体积和杂项数据格式。因此,用户浏览遥感图像并评估图像质量并选择合适的图像是不可行的。此外,由于其杂项数据格式,在标准图像查看器中实时读取和传输遥感图像是效率低下。为了清除问题,通过数据库管理系统软件管理的各种遥感图像中提取元数据和微图,并在互联网上浏览和评估,以确定真实想要的图像。工作过程包括4个步骤。 1)为遥感图像创建元数据。元数据包括图像数据格式,图像范围的经度和纬度,日期和时间,空间分辨率,传感器属性(视图,乐队,性能和精密等),平台属性(靠近陆地表面,飞机或卫星),航空和空间观测的飞行路径或轨道属性等2)为遥感图像创建MicroImage。首先,通过几何校正将遥感图像投影到相同的坐标系,因此所有图像都可以正确匹配。然后将微臂通过1:10或1:5立方卷积采样采样校正的图像。 3)。构建一个数据库以存储和管理元数据和微数,并创建指针以超链接遥感图像自我。 4)开发浏览界面,在Internet上发布遥感图像基础,并接收用户的订单表单。如果已接受订单,则希望在CDROM上发送。该接口可视化。这里,使用色谱来表达频带。时钟是时间和景观在一年内的几天。并通过在地图上移动鼠标来定位。像素尺寸通过金字塔上的电平显示。通过这种元数据和微视线方法,可以方便地浏览,在互联网上进行浏览,评估和订购遥感图像。管理遥感图像是可行的方式。

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