A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
A Fast and Robust Matching Framework for Multimodal Remote Sensing Image Registration
[article]
2018
arXiv
pre-print
While image registration has been studied in remote sensing community for decades, registering multimodal data [e.g., optical, light detection and ranging (LiDAR), synthetic aperture radar (SAR), and map] remains a challenging problem because of significant nonlinear intensity differences between such data. To address this problem, we present a novel fast and robust matching framework integrating local descriptors for multimodal registration. In the proposed framework, a local descriptor (such
arXiv:1808.06194v4
fatcat:qemt4me2ljd7hebgxbtakkf6zm