Robust Region Feature Extraction With Salient MSER and Segment Distance-Weighted GLOH for Remote Sensing Image Registration

Robust Region Feature Extraction With Salient MSER and Segment Distance-Weighted GLOH for Remote Sensing Image Registration

Remote sensing image registration is one of the crucial steps in remote sensing image processing, where ground control information is essential. Maintenance of control point databases is complex and expensive. Consequently, lightweight feature databases are emerging. Lightweight feature databases ne...

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Bibliographic Details
Main Authors: Zilu Zhao, Feng Wang, Hongjian You
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Feature region matching
gradient location-orientation histogram (GLOH)
maximally stable extremal regions (MSERs)
remote image registration
scale-invariant feature transform (SIFT)
Online Access:https://ieeexplore.ieee.org/document/10365403/

Internet

https://ieeexplore.ieee.org/document/10365403/

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