Fusion of hyperspectral and LiDAR data: A case study for refined crop classification in agricultural region of Zhangye Oasis in the middle reaches of Heihe River
1. School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China 2. School of Naval Architecture and Ocean Engineering, Jiangsu Maritime Vocational Institute, Nanjing 211170, China
Hyperspectral remote sensing can simultaneously acquire spatial images of space and fine spectral information so as to describe the features more accurately. However, when the phenomena of different spectra in the same objects or the same spectra in different objects occur, the classification of hyperspectral images will face a daunting challenge. Light detection and ranging (LiDAR) can obtain the terrain topology information and can be used to construct the surface 3D model. However, features cannot be accurately identified by using LiDAR data only. Based on the above two points, the authors carried out a study to fuse hyperspectral images and LiDAR data. Morphological attribute profile was used to extract features, and sparse multinomial logistic regression (SMLR) was used to do classification. The fusion and classification effect in different combinations of characteristics were also investigated. The CASI/SASI aerial hyperspectral image and LiDAR DSM data were used to validate this method based on the Zhangye Oasis agricultural area in the middle reaches of the Heihe River which is a good target for the classification of crop. The results show that the method using hyperspectral and LiDAR data can obtain better classification results with higher accuracy and stability, and the best classification accuracy is 94.50% by fusion features based on the extended morphological attribute profile.
杨思睿, 薛朝辉, 张玲, 苏红军, 周绍光. 高光谱与LiDAR数据融合研究——以黑河中游张掖绿洲农业区精细作物分类为例[J]. 国土资源遥感, 2018, 30(4): 33-40.
Sirui YANG, Zhaohui XUE, Ling ZHANG, Hongjun SU, Shaoguang ZHOU. Fusion of hyperspectral and LiDAR data: A case study for refined crop classification in agricultural region of Zhangye Oasis in the middle reaches of Heihe River. Remote Sensing for Land & Resources, 2018, 30(4): 33-40.
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2018, Vol. 30 
), 张玲2, 苏红军1, 周绍光1
