The Design And Implementation Of Low-middle Resolution Remote Sensing Retrieved Data Validation Verification System

Remote sensing validation verification plays an important role in the application of remote sensing.Remote sensing validation verification is the technology of verifying authenticity of the remote sensing data, remote sensing products and remote sensing algorithms, and make people who using remote sensing data believe that this accuracy. To make sure remote sensing inversion products to be widely used, we must first ensure that it can truly reflect the real situation of the ground; it must verify the authenticity.of remote sensing inversion products.The article focused on low-resolution remote sensing image data validation of the leaf area index, to solve some of the key issues in the process of validation, such as pretreatment, inversion,scaling. This article uses a combination of spatial scales based on the PSF of the pixel decomposition of large-scale NDVI and MODIS imaging geometric principles to convert research methods.Finally, this article design and implement the software system of validation of remote sensing products and get the accuracy assessment of remote sensing product.(1) Based on MODIS imaging principle developed a corresponding algorithm MODIS pixel corresponds exactly with the TM pixel. Firstly, according to satellite and observation point distance and zenith angle calculation MODIS pixel width, then the pixel relative to true north direction is calculated based on the satellite azimuth, then use a special selection algorithm to select the TM pixel in MODIS pixel range.(2) This article uses a combination of spatial scales based on MODIS imaging geometric principlese;PSF of the pixel decomposition of large-scale NDVI to convert research methods, compared with traditional methods. it is the pixel correspondence, the autocorrelation of the image and surface heterogeneity of both the combination of validation of the MODIS products of LAI, the experimental results significantly better than traditional spatial scale conversion method, thereby improving the accuracy and credibility of the MODIS of LAI product validation.(3) At last, designed the validation test system of remote sensing products system processes and structure, and achieved remote sensing images read, display, save, pretreatment, inversion, scaling well functional verification of accuracy of remote sensing products. MODIS data is read into the HDF format and TM data is read into tif format, surface albedo and LAI inversion using TM data.Use projected coordinate achieve the corresponding of MODIS and TM pixel. Finally, achieve the validation of MODIS products.