Quantitative Evaluation of Digital Orthophoto Map

Abstract

There is no comprehensive and scientific standard and system for the classification, selection and use of digital orthophoto map quality evaluation indexes. There are some problems in the evaluation, such as unclear selection of indexes and inconsistent evaluation results. In this paper, the quantitative evaluation indexes of position accuracy, edge quality, texture quality, fusion quality and other quality characteristics are selected, the calculation formula is sorted out, the program is written, and compared with the subjective evaluation of the inspector, the best evaluation scheme of digital orthophoto map is discussed. The results of the digital orthophoto map quality evaluation experiment in Lusong District show that the position accuracy detection based on speed up robust feature (SURF) dense matching algorithm can reflect the overall geometric accuracy of the image, and the radiation consistency, geometric consistency contrast and clarity indexes such as gray contrast coefficient, uniform brightness distribution, mean gradient, error relative global adimensionnelle synthese (ERGAS) index can effectively reflect the edge quality, texture quality and fusion quality of digital orthophoto map.