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   Articles with "multimodal remote" as a keyword



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Heterogeneous feature learning network for multimodal remote sensing image collaborative classification

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recommendations! Published in 2024 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2024.2370502

Abstract: ABSTRACT While multimodal remote sensing data processing has garnered growing interests in the geoscience field, how to effectively extract, represent, and fuse heterogeneous features remains challenging. In this article, a novel heterogeneous feature learning network… read more here.

Keywords: remote; remote sensing; heterogeneous feature; network ... See more keywords

Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3388464

Abstract: Given the ever-growing availability of remote sensing data (e.g., Gaofen in China, Sentinel in the EU, and Landsat in the USA), multimodal remote sensing techniques have been garnering increasing attention and have made extraordinary progress… read more here.

Keywords: segmentation; remote sensing; semantic segmentation; multimodal remote ... See more keywords

Shape-Adaptive Modality Independent Region Descriptor for Multimodal Remote Sensing Image Matching

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3447219

Abstract: With the advancement of remote sensing technologies, multimodal image matching has become increasingly important. Multimodal remote sensing images exhibit significant differences in radiometric and geometric properties due to their distinct imaging principles and being contaminated… read more here.

Keywords: modality; image matching; descriptor; remote sensing ... See more keywords
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Combining Phase Congruency and Self-Similarity Features for Multimodal Remote Sensing Image Matching

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recommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3239191

Abstract: The structural features using self-similarity have become more popular for multimodal remote sensing image matching. However, mostly because of significant geometric distortions and nonlinear intensity differences between images, these methods produce a limited matching performance… read more here.

Keywords: self similarity; image; remote sensing; multimodal remote ... See more keywords

TFFNet: Transform Fusion Fuzzy Network for Multimodal Remote Sensing Classification

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recommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2025.3612011

Abstract: Multimodal remote sensing classification benefits from the complementary properties of different sensing modalities. However, most existing methods prioritize spatial and channel-wise features, with cross-modal transform-domain correlations often receiving insufficient attention. This imbalance, to some extent,… read more here.

Keywords: remote sensing; transform; multimodal remote; sensing classification ... See more keywords

Multimodal Remote Sensing Image Matching Combining Learning Features and Delaunay Triangulation

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3229366

Abstract: Multimodal remote sensing image (MRSI) high-precision matching faces significant challenges due to the large nonlinear distortions in radiation and geometry. To address this problem, we propose a novel MRSI matching method, multimodal remote sensing image… read more here.

Keywords: remote sensing; multimodal remote; delaunay triangulation; sensing image ... See more keywords

D3PM: Dual-Stream Denoising Diffusion Probabilistic Model for Change Detection in Multimodal Remote Sensing Images

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3564959

Abstract: Detecting land cover changes from multitemporal and multimodal remote sensing images acquired by different sensors at the same location is a complex yet highly valuable task. Recently, diffusion models, exemplified by the denoising diffusion probabilistic… read more here.

Keywords: detection; remote sensing; stream; multimodal remote ... See more keywords

IFF-Net: Irregular Feature Fusion Network for Multimodal Remote Sensing Image Classification

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recommendations! Published in 2024 at "Applied Sciences"

DOI: 10.3390/app14125061

Abstract: In recent years, classification and identification of Earth’s surface materials has been a challenging research topic in the field of earth science and remote sensing (RS). Although deep learning techniques have achieved some results in… read more here.

Keywords: classification; iff net; remote sensing; multimodal remote ... See more keywords