A Two-Step Method for Remote Sensing Images Registration Based on Local and Global Constraints

A Two-Step Method for Remote Sensing Images Registration Based on Local and Global Constraints

In this article, we propose an effective method for remote sensing image registration. Point features are robust to remote sensing images with low quality, small overlapping area, and local deformation. Therefore, we extract point features from remote sensing images and convert the problem of remote...

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Bibliographic Details
Main Authors: Yue Wu, Zhenglei Xiao, Shaodi Liu, Qiguang Miao, Wenping Ma, Maoguo Gong, Fei Xie, Yang Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Feature descriptor
global information
image registration
locality preserving
scale-invariant feature transform (SIFT)
Online Access:https://ieeexplore.ieee.org/document/9428514/

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