An Improved Spatially Variant MOCO Approach Based on an MDA for High-Resolution UAV SAR Imaging with Large Measurement Errors

An Improved Spatially Variant MOCO Approach Based on an MDA for High-Resolution UAV SAR Imaging with Large Measurement Errors

For unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) imaging, motion errors cannot be obtained accurately when high precision motion sensors are not equipped on the platform. This means that traditional data-based motion compensation (MOCO) cannot be directly implemented due to large mea...

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Bibliographic Details
Main Authors: Yi Ren, Shiyang Tang, Qi Dong, Guoliang Sun, Ping Guo, Chenghao Jiang, Jiahao Han, Linrang Zhang
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicle (UAV)
synthetic aperture radar (SAR)
spatially variant
motion compensation (MOCO)
map-drift algorithm (MDA)
Online Access:https://www.mdpi.com/2072-4292/14/11/2670

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https://www.mdpi.com/2072-4292/14/11/2670

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