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Advances and Challenges in Multimodal Remote Sensing Image Registration
IEEE Journal on Miniaturization for Air and Space Systems, 2023 Over the past few decades, with the rapid development of global aerospace and aerial remote sensing technology, the types of sensors have evolved from the traditional monomodal sensors (e.g., optical sensors) to the new generation of multimodal sensors [e.g., multispectral, hyperspectral, light detection and ranging (LiDAR) and synthetic aperture radar
Yuanxin Ye, Jianwei Fan, Bai Zhu
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Remote Sensing, 2022 Remote sensing image matching is the basis upon which to obtain integrated observations and complementary information representation of the same scene from multiple source sensors, which is a prerequisite for remote sensing tasks such as remote sensing ...
Liangzhi Li, Ling Han, Yuanxin Ye
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Multimodal Urban Remote Sensing Image Registration Via Roadcross Triangular Feature
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Automatic image registration of multimodal urban remote sensing images remains a critical challenging task in remote sensing image analysis due to significant nonlinear radiation distortions between multimodal image pairs; most of the traditional methods
Kun Yu +8 more
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Foundation Models for Remote Sensing Semantic Segmentation: A Review of Architectures, Adaptations, and Prospects [PDF]
SensorsRemote sensing image segmentation is a foundational task in Earth observation. With the rapid growth of remote sensing datasets in terms of scale, modality diversity, semantic openness, and spatio-temporal complexity, the field is evolving from task ...
Ming Deng +4 more
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Multimodal Fusion Remote Sensing Image–Audio Retrieval
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Remote sensing image–audio retrieval (RSIAR) has been an emerging research topic in recent years, and many different methods have been proposed for this topic.
Rui Yang +7 more
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Modality-Free Feature Detector and Descriptor for Multimodal Remote Sensing Image Registration
Remote Sensing, 2020 The nonlinear radiation distortions (NRD) among multimodal remote sensing images bring enormous challenges to image registration. The traditional feature-based registration methods commonly use the image intensity or gradient information to detect and ...
Song Cui +3 more
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Multiscale Template Matching for Multimodal Remote Sensing Image
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Multimodal matching remains a difficult and pressing problem in the imaging processing community. Accurate and robust multimodal matching is important for the performance of applications, such as registration and fusion.
Tian Gao +5 more
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Fast and Robust Matching for Multimodal Remote Sensing Image Registration [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2019 While image registration has been studied in remote sensing community for decades, registering multimodal data [e.g., optical, LiDAR, SAR, and map] remains a challenging problem because of significant nonlinear intensity differences between such data.
Yuanxin Ye, Qing Zhu, Jie Shan
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Self-Similarity Features for Multimodal Remote Sensing Image Matching [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Multimodal remote sensing image matching is a challenging task because of the existence of significant radiometric differences. To address the problem, we develop a novel multimodal remote sensing image matching method based on self-similarity features ...
Xin Xiong +3 more
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Robust Multimodal Remote Sensing Image Registration Based on Local Statistical Frequency Information
Remote Sensing, 2022 Multimodal remote sensing image registration is a prerequisite for comprehensive application of remote sensing image data. However, inconsistent imaging environment and conditions often lead to obvious geometric deformations and significant contrast ...
Xiangzeng Liu +7 more
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