摘要
以仿真的全极化雷达L波段为数据源进行了复相干DEM差分算法和复相干幅度算法的森林树高反演研究,并采用星载全极化微波遥感数据ALOS PALSAR数据进行实例检验。结果表明:仿真试验中DEM差分算法严重低估了森林树高,复相干幅度算法则估测精度较高;ALOS PALSAR数据时间由于去相干和配准精度低等原因,难以有效估测森林树高。
Based on the L-band simulated full-polarimetric data, forest height inversion by coherent DEM difference algorithm and amplitude coherent complex algorithms were conducted, and full-polarimetric spaceborne microwave remote sensing data ALOS PALSAR has been verified by an instance. The results show: under simulated data, DEM difference algorithm seriously underestimated the forest height, the complex coherent amplitude estimation algorithm represented high accuracy. Due to temporal decorrelation and low registration accuracy, ALOS PAL- SAR data was difficult to estimate the forest tree height effectively.
出处
《西南林业大学学报(自然科学)》
CAS
北大核心
2016年第3期137-143,共7页
Journal of Southwest Forestry University:Natural Sciences
基金
国家自然科学基金项目(31260156)
云南省教育厅项目(51400657)
西南林业大学林学一级学科
西南地区生物多样性保育国家林业局重点实验室开放基金资助
关键词
Polin
SAR
DEM差分
复相干幅度
森林高度
反演
PolinSAR, DEM difference algorithm, amplitude coherent complex, forest height, inversion