MID: A Novel Mountainous Remote Sensing Imagery Registration Dataset Assessed by a Coarse-to-Fine Unsupervised Cascading Network

MID: A Novel Mountainous Remote Sensing Imagery Registration Dataset Assessed by a Coarse-to-Fine Unsupervised Cascading Network

The geometric registration of mountainous remote sensing images is always a challenging project, as terrain fluctuations increase the complexity. Deep learning, with its superior computing power and data-driven nature, promises to solve this problem. However, the lack of an appropriate dataset limit...

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Bibliographic Details
Main Authors: Ruitao Feng, Xinghua Li, Jianjun Bai, Yuanxin Ye
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
hybrid dilation convolution
iterative registration
mountainous imagery dataset
remote sensing
unsupervised convolutional network
Online Access:https://www.mdpi.com/2072-4292/14/17/4178

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https://www.mdpi.com/2072-4292/14/17/4178

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