地理空间信息2013，Vol.11Issue(1)：40-42,3.
基于改进粗糙集和NSCT的红外遥感图像增强
Infrared Remote Sensing Image Enhancement Method Based on Rough Sets and NSCT
摘要
Abstract
A novel algorithm for infrared remote sensing images enhancement based on rough sets and NSCT was proposed in this paper. Firstly, after NSCT decomposition for an image, coefficients in different scales and several directions was obtained. Secondly, considering the distribution law of coefficients of different structures in adjacent scales and different directions, we made partitions and decision rules for the coefficients based on rough sets. After that, we enhanced the different partitions of coefficients in different ways by set operation, and coefficients of cracked edges were enlarged more than strong edges. Finally, we made a NSCT composition for the modified coefficients, and the enhanced image was obtained. Compared with traditional enhancing algorithms, our method has a better noise reducing performance in preserving edges and improving the quality of images.关键词
红外遥感图像/粗糙集/图像增强/NSCT/模糊梯度Key words
infrared remote sensing image, rough sets, image enhancement, NSCT, fuzzy gradient分类
天文与地球科学引用本文复制引用
王琪,徐川,路祥宇..基于改进粗糙集和NSCT的红外遥感图像增强[J].地理空间信息,2013,11(1):40-42,3.基金项目
国家重点基础研究发展规划资助项目(973计划)(2012CB719906). （973计划）
