Improved Three-stage Inversion Process for Forest Height Inversion with PolInSAR Data
Three-stage inversion process is one of the most frequently used methods with PolInSAR data for extracting forest heights. According to this method, forest heights and ground topography can be extracted based on interferometric coherence using a random volume over ground model. In this paper, a coherence value estimation method with adaptive averaging window derived from coherence region shape parameters is presented to improve the accuracy of complex coherence estimate. Moreover, coherence region boundary extraction algorithm is applied to resolve the ambiguity estimation problem of volume decorrelation. Finally, the proposed algorithm is validated by simulated PolInSAR data for canopy simulated by PolInSAR data simulator of PolSARpro software developed by ESA (European Space Agency).
polarimetric interferometry forest height inversion coherence estimation volume decorrelation coherence region.
Lulu Tan Zhang Jianming Dahai Dai Ruliang Yang
East China Research Institute of Electronic Engineering, China East China Research Institute of Electronic Engineering, China School of Electronic Science and Engi Institute of electronics, Chinese Academy of Sciences, China
国际会议
2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)
成都
英文
1394-1397
2011-10-24(万方平台首次上网日期,不代表论文的发表时间)