详细信息
Forest structure estimation using space borne polarimetric radar: An ALOS PALSAR case study ( EI收录) 被引量:17
文献类型:会议论文
英文题名:Forest structure estimation using space borne polarimetric radar: An ALOS PALSAR case study
作者:Cloude, S.[1] Chen, E.[2] Li, Z.[2] Tian, X.[2] Pang, Y.[2] Li, S.[2] Pottier, E.[3] Ferro-Famil, L.[3] Neumann, M.[3] Hong, W.[4] Cao, F.[4] Wang, Y.P.[4] Papathanassiou, K.P.[5]
第一作者:Cloude, S.
通信作者:Cloude, S.
机构:[1] AEL Consultants, Cupar, KY15 5AA, United Kingdom; [2] Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, China; [3] SAPHIR Group, Institute of Electronics and Telecommunications of Rennes, University of Rennes 1, Rennes, France; [4] National Key Laboratory of Microwave Imaging Technology, Chinese Academy of Sciences, Beijing, China; [5] Microwaves and Radar Institute, German Aerospace Centre [DLR], Wessling, Germany
会议论文集:Proceedings of the 2008 Dragon Symposium - Dragon 1 Programme Final Results 2004-2007
会议日期:April 21, 2008 - April 25, 2008
会议地点:Beijing, China
语种:英文
外文关键词:Forestry - Interferometry - Polarimeters - Radar imaging - Space-based radar - Synthetic aperture radar
年份:2008
摘要:Here we investigate the potential use of ALOS PALSAR L-band dual and quad polarization SAR data for improved forest structure mapping and parameter estimation. Several scenes of level 1.1 SLC data have been acquired under the DRAGON project in 2007 for the Tai-An test site of Shandong Province, P.R. China. The preliminary results for the first phase of this project are reported here. Firstly, the geo-coding method and its geo-location accuracy are evaluated with one geo-coded Landsat ETM as reference. Secondly, a high resolution DEM is used for implementing GTC processing. The benefits and limitations of GTC for forest mapping are evaluated with a SPOT5 image. Thirdly, various entropy-alpha Polarimetric segmentation methods are evaluated for forest classification. Finally, interferometric coherence images are generated to investigate the possibility of studying Polarimetric interferometry based forest structure information extraction methods.
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