A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids

With the rapid development of earth observation, satellite navigation, mobile communication, and other technologies, order magnitude spatial data we acquire accumulate is increasing, higher requirements are put forward for application storage data. As a new form management, global discrete grid can be used efficient large-scale data, which digital multiresolution georeference model that helps to establish association fusion. It expected make up shortcomings in organization, processing, current There different types systems according division form, including grids with equal latitude longitude, variable based on regular polyhedrons. However, there no accuracy evaluation index system remote sensing images expressed solve this problem. This paper dedicated finding suitable way express grids, as well establishing modeling hexagonal evaluate accuracy. The results show method analyze from multiple levels, comprehensive similarity coefficient before after conversion greater than 98%, further proves availability hexagonal-grid-based images. generally applicable all raster it