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 oforthophotomap in various fields, the information quantity of digital orthophoto map reflects anddecides the affection of decision- makings on deep degrees, and it affects the dependability ofanalytical result, thereby, to perfect the outputs of digital orthophoto map is a problem that should besolved 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 orthophotomap.The paper analyses three contents of information entropy: Shannon-Wiener entropy, Markovinformation entropy and Co-occurrence Matrix entropy. Through the experiments we find out thatusing Markov information entropy to account the information quantity of orthophoto character on thedigital orthophoto map is the best one. The map load is very important for the map. The paper analysesthe complexity and particularity of the digital orthophoto map laod through the introduction of mapload of general map. It studies on map load based on information and probability,and puts up a test totry to express the map load of remote sensing orthophoto quantitatively.