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Proceedings Paper

Land cover classification based on object-oriented with airborne lidar and high spectral resolution remote sensing image
Author(s): Fangfang Li; Zhengjun Liu; Qiangqiang Xu; Haicheng Ren; Xingyu Zhou; Yonghua Yuan
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Paper Abstract

In order to improve land cover classification accuracy of the coastal tidal wetland area in Dafeng, this paper take advantage of hyper-spectral remote sensing image with high spatial resolution airborne Lidar data. The introduction of feature extraction, band selection and nDSM models to reduce the dimension of the original image. After segmentation process that combining FNEA segmentation with spectral differences segmentation method, the paper finalize the study area through the establishment of the rule set classification of land cover classification. The results show that the proposed classification for land cover classification accuracy has improved significantly, including housing, shadow, water, vegetation classification of high precision. That is to say that the method can meet the needs of land cover classification of the coastal tidal wetland area in Dafeng. This innovation is the introduction of principal component analysis, and the use of characteristic index, shape and characteristics of various types of data extraction nDSM feature to improve the accuracy and speed of land cover classification.

Paper Details

Date Published: 25 October 2016
PDF: 7 pages
Proc. SPIE 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology, 101560B (25 October 2016); doi: 10.1117/12.2244142
Show Author Affiliations
Fangfang Li, Chinese Academy of Surveying and Mapping (China)
Liaoning Project Technology Univ. (China)
Zhengjun Liu, Chinese Academy of Surveying and Mapping (China)
Qiangqiang Xu, Lanzhou Jiaotong Univ. (China)
Haicheng Ren, Lanzhou Jiaotong Univ. (China)
Xingyu Zhou, Liaoning Project Technology Univ. (China)
Yonghua Yuan, Liaoning Project Technology Univ. (China)


Published in SPIE Proceedings Vol. 10156:
Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology

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