桂林理工大学学报2015，Vol.35Issue(3)：535-539,5.DOI:10.3969/j.issn.1674-9057.2015.03.017
基于BP神经网络的Landsat影像去云方法
BP ANN algorithm for removing cloud in Landsat data
摘要
Abstract
An approach using BP ANN for radiometric calibration in multi-temporal remote sensing images is proposed in this paper.First of all, the cloud is detected by haze optimized transform method, and the shadow is computed by offsetting and expanding the area of cloud .Then the spectral nonlinear relation can be solved by BP ANN to simulate the nonlinear function and predict each pixel gray value, so that the spectral features of two images can be unified.Finally the target image would be repaired by replacing the pixels of color corrected im-age.Results show that for Landsat data, BP ANN has a good effect on function approximation, and the image quality can be greatly improved after employing this method.关键词
BP神经网络/光谱匹配/去云/LandsatKey words
BP ANN/spectrum matching/cloud removal/Landsat分类
信息技术与安全科学引用本文复制引用
王睿,韦春桃,马云栋,胡涛..基于BP神经网络的Landsat影像去云方法[J].桂林理工大学学报,2015,35(3):535-539,5.基金项目
国家自然科学基金项目 (41161073) （41161073）
广西自然科学基金重点项目 (2014GXNSFDA118038) （2014GXNSFDA118038）
广西青年科学基金项目 (2012GXNSFBA053131) （2012GXNSFBA053131）
广西 "八桂学者" 岗位专项经费项目 （）
