Data fusion of airborne hyperspectral and full waveform LiDAR data for land cover classification

Kuei Chia Chen, Chun Yu Liu, Chi-Kuei Wang, Hone-Jay Chu, Guo Hao Huang

研究成果: Conference contribution

摘要

Land use classification is vital in understanding ecosystems and evaluating nature sources. Substantial studies have been done on employing the reflectance spectra from hyperspectral images to classify land cover. It is known that the full waveform LiDAR system can obtain the high-precision 3D elevation information, and the shape of the waveform packet describes the characteristics of the surface. In this study, we present an efficient approach that integrates hyperspectral images and full waveform Lidar data for detecting land use clusters. Our study area is located in upper stream of Tsengwen Reservoir watershed in Taiwan. The 72-band hyperspectral data were obtained by an Itres CASI-1500 with a pixel resolution of 1 m. The spectrum range of Itres CASI-1500 is between 362.8 and 1051.3 nm, and the spectral resolution is 9.6 nm. The Lidar data were acquired by an ALTM Pegasus with a point density of 2 points/m 2. We employed Minimum Noise Component (MNF) and Principal Components Analysis (PCA) for data fusion of multivariate statistical models. Based on fused data, Maximum Likelihood was applied to image classification. The classification results showed that fusing the full waveform LiDAR data and the hyperspecrtal data can slightly increase the classification accuracy.

原文English
主出版物標題34th Asian Conference on Remote Sensing 2013, ACRS 2013
發行者Asian Association on Remote Sensing
頁面359-364
頁數6
ISBN(列印)9781629939100
出版狀態Published - 2013 一月 1
事件34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
持續時間: 2013 十月 202013 十月 24

出版系列

名字34th Asian Conference on Remote Sensing 2013, ACRS 2013
1

Other

Other34th Asian Conference on Remote Sensing 2013, ACRS 2013
國家/地區Indonesia
城市Bali
期間13-10-2013-10-24

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信

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