A SAR Image Segmentation Method Based on MLRT

Ju, Yanwei; Zhang, Yan; Chen, Dong

doi:10.1109/ccisp51026.2020.9273497

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…This theory has broken through the defect of realaperture radars. In other words, the azimuth resolution is low since the radar antenna aperture cannot be enlarged in an unlimited way [1] . The PolInSAR technology, which has developed abroad, has been initially investigated by many Chinese scientific research institutes.…”

Section: Research Statusmentioning

confidence: 99%

Research on forest height inversion algorithm based on X-band SAR data

Shen¹,

Zhang²,

Zhu³

et al. 2023

International Conference on Precision Instruments and Optical Engineering (PIOE 2022)

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Forest canopy structure is an important parameter for measuring forest changes and forest coverages. It is significant to explore the application of TerraSAR-X/TanDEM-X data in tree height inversion. In this research, the phase differencephase coherence magnitude algorithm and the digital elevation model (DEM) method were investigated based on the random-volume-over-ground (RVoG) model. With Mengla County in Xishuangbanna Dai Autonomous Prefecture in Yunnan Province as the research area, the forest height inversion was performed based on TerraSAR-X/TanDEM-X data. Finally, the results were verified by combining field-measured data. For natural forests and rubber plantations, the DEM height difference method magnitude tree height inversion algorithm improves the estimation of the earth phase and canopy phase favorably, while the traditional algorithm presents a high height inversion precision for rubber plantations.

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Section: Research Statusmentioning

confidence: 99%