Research And Implementation Of The Fast Browsing Technology For Massive Remote Sensing Images

The size of remote sensing image is increasing sharply. On the one hand, the cycle of obtaining remote sensing images is getting shorter and shorter, and the resolution of remote sensing images is increasing continually with the rapid development of remote sensing technology, especially the development of satellite sensors. On the other hand, the application range of remote sensing image is more and more extensive. In the meantime, the application software of this industry presents diversified development trend. Therefore, the key to visual remote sensing application software is to develop the quick view technology of massive remote sensing images.The status of domestic and international of the quick view technology of massive remote sensing images is analyzed in this thesis, and the disadvantages of this stage of research are summarized. The effectiveness of fast loading and rendering show of dealing with massive remote sensing images in software system is studied. Meanwhile, the design and the implementation process of the system is discussed. In this thesis, following aspects of work have been completed.(1) The reading technology of massive remote sensing images has been studied so that images can be loaded in a shorter time.(2) The fast rendering show technology of massive remote sensing images has been studied so that images can be shown in a shorter time.(3) The data caching mechanism and asynchronous cache scheduling policy have been studied so that user experience can be improved.(4) Combining the framework plug-in mechanism with the remote sensing image processing technology, the detail of the design and the implementation process has been studied which is used for massive remote sensing images fast processing system by independent development.In summary, the technology and implementation studied in this thesis significantly enhance the user experience and the ability of the remote sensing platform that it improves the efficiency of showing massive remote sensing images. At the same time, the efficiency of analysis ability of space and image has also been improved.