Research of Digital Orthophoto Map Load Based on Orthophoto Information Entropy

摘要

At present, with the development of the affection in different layouts and decision-makings of orthophotomap in various fields, the information quantity of digital orthophoto map reflects and decides the affection of decision- makings on deep degrees, and it affects the dependability of analytical result, thereby, to perfect the outputs of digital orthophoto map is a problem that should be solved as soon as possible . The paper summarizes the current status of the digital orthophoto map, introduces the backdrop, and analyses the main question in the development of digital orthophoto map.The paper analyses three contents of information entropy: Shannon-Wiener entropy, Markov information entropy and Co-occurrence Matrix entropy. Through the experiments we find out that using Markov information entropy to account the information quantity of orthophoto character on the digital orthophoto map is the best one. The map load is very important for the map. The paper analyses the complexity and particularity of the digital orthophoto map laod through the introduction of map load of general map. It studies on map load based on information and probability,and puts up a test to try to express the map load of remote sensing orthophoto quantitatively.