文献类型：期刊文献

英文题名：The synergetic estimation approach of forest above ground biomass based on X-band InSAR and P-band PolSAR data

作者：Zhao, Lei[1] Chen, Erxue[1] Li, Zengyuan[1] Zhang, Wangfei[2] Fan, Yaxiong[1] Wan, Xiangxing[1]

第一作者：赵磊

通信作者：Li, Zengyuan

机构：[1] Institute of Forest Resources Information Technique, Chinese Academy of Forestry, China; [2] College of Forestry, Southwest Forestry University, China

年份：2018

卷号：2018-July

起止页码：9018-9021

外文期刊名：International Geoscience and Remote Sensing Symposium (IGARSS)

收录：EI(收录号：20191206669375)

语种：英文

摘要：In this paper, we studied the synergetic estimation approach of forest above ground biomass (AGB) based on the multidimensional SAR data (dual antenna X-band InSAR and P-band PolSAR data) that acquired by air-borne CASMSAR system of China. Firstly, the high-resolution DSM data of the experimental area was acquired from the X-InSAR data. Then, based on the filtered DSM, the terrain correction of P-PolSAR data and X-InSAR coherence was completed. Finally, forest AGB was estimated based on the characteristics of multi-dimensional SAR that after the terrain correction. The experimental results showed that the combined multi-dimensional SAR features can obtain higher estimation accuracy than the single-dimensional SAR features. Compared to only using P-PolSAR features and X-InSAR coherence feature, the accuracy of combined estimation approach was improved by 6.4% and 5.1%, respectively. ? 2018 IEEE