This paper proposes a deep multi-modal remote sensing image matching network (DCMNet) that combines descriptor learning and continuous learning to solve this ...
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This paper proposes a deep multi- modal remote sensing image matching network (DCMNet) that combines descriptor learning and continuous learning to solve this ...
In this paper, we review an extension of the learning rules in a Principal Component Analysis network which has been derived to be optimal for a specific ...
DEEP CONTINUOUS MATCHING NETWORK FOR MORE ROBUST MULTI-MODAL REMOTE SENSING IMAGE PATCH MATCHING ; Session: MOP.P1: Feature Extraction and Image Matching with ...
Deep Continuous Matching Network for more Robust Multi-Modal Remote Sensing Image Patch Matching · Conference Paper. July 2023. ·. 3 Reads. Rufan Zhou. ·. Dou ...
This paper proposes a lightweight and hybrid feature-guided registration algorithm for MRSI called the hybrid registration algorithm based on multi-dimensional ...
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Oct 1, 2024 · We propose a robust multisource remote sensing image matching method utilizing attention and feature enhancement against noise interference.
Deep Continuous Matching Network for more Robust Multi-Modal Remote Sensing Image Patch Matching · Rufan ZhouDou Quan +4 authors. Licheng Jiao. Environmental ...
We propose a Robust and Accurate Feature Matching Method for Multi-modal Geographic Images Spatial Registration (RAMMR) to fully extract common key points ...
This paper has presented a robust matching method for the registration of multimodal remote sensing images, involving both a novel SFOC descriptor and a fast ...
Missing: Continuous | Show results with:Continuous