Fast reading and displaying of remote sensing images based on GDAL
GDAL is a powerful open source library that supports reading and writing of more than 120 types of raster and GIS vector data. By using related functions of GDAL open source library, the physical size of the multi-source remote sensing image coordinate projection information, band information and image range information were obtained. The mode and method to resolve multi-source remote sensing images under GDAL framework were introduced. Some key technologies from the bottom of GDAL methods were improved and optimized and the methods of quickly reading and displaying Geo-images were expanded. The results show that getting a pixel from a remote sensing image of 2.13GB took 4.3 seconds by the RasterIO function and the new method took only 2.1 seconds; The traditional method can' t apply to sample an image larger than 2GB, while the block processing technology method described in this paper can meet the requirement of large-size image, and improved the memory application efficiency of the system and also speed up the loading and scaling of the remote sensing image.
NETL
NSTL
万方数据
维普
