Abstract:Vegetation coverage is always an obstacle in the lithological information extraction from optical remotely sensed imagery. Aimed at enhancing lithological and soil information in vegetation coverage area, this paper used a three-step (i.e., masking, enforced variance, histogram equalization) general vegetation suppression approach. Four experiments were conducted by using different datasets in different locations, which included a Landsat ETM+ image in Hangzhou of Zhejiang, a Landsat ETM+ image in Funing of Yunnan, a Hyperion image in Rongtang of Jiangxi and a MODIS image in Guangdong. The results indicate the effectiveness of the proposed approach in suppressing vegetation in optical remote sensing images with different spatial and spectral resolutions.
俞乐, 章钦瑜, 朱骏, 张登荣. 光学遥感图像植被信息抑制通用方法[J]. 国土资源遥感, 2011, 23(2): 38-42.
SHU Le, ZHANG Qin-Yu, ZHU Jun, ZHANG Deng-Rong. A General Approach for Suppressing Vegetation in Optical Remotely Sensed Imagery. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 38-42.