Multimodal Prompt-Guided Bidirectional Fusion for Referring Remote Sensing Image Segmentation
Remote SensingMultimodal feature alignment is a key challenge in referring remote sensing image segmentation (RRSIS). The complex spatial relationships and multi-scale targets in remote sensing images call for efficient cross-modal mapping and fine-grained feature ...
Yingjie Li +3 more
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Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing [PDF]
, 2014 As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei +6 more
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Multimodal Fusion Transformer for Remote Sensing Image Classification
IEEE Transactions on Geoscience and Remote Sensing, 2023 Vision transformers (ViTs) have been trending in image classification tasks due to their promising performance when compared to convolutional neural networks (CNNs). As a result, many researchers have tried to incorporate ViTs in hyperspectral image (HSI) classification tasks.
Roy, Swalpa Kumar +5 more
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Semisupervised Manifold Alignment of Multimodal Remote Sensing Images [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2014 We introduce a method for manifold alignment of different modalities (or domains) of remote sensing images. The problem is recurrent when a set of multitemporal, multisource, multisensor and multiangular images is available. In these situations, images should ideally be spatially coregistred, corrected and compensated for differences in the image ...
Devis Tuia +3 more
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Cross-Modal feature description for remote sensing image matching
International Journal of Applied Earth Observations and Geoinformation, 2022 Effective feature description for cross-modal remote sensing matching is challenging due to the complex geometric and radiometric differences between multimodal images.
Liangzhi Li +3 more
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Multimodal Remote Sensing Image Registration Methods and Advancements: A Survey [PDF]
Remote Sensing, 2021 With rapid advancements in remote sensing image registration algorithms, comprehensive imaging applications are no longer limited to single-modal remote sensing images. Instead, multi-modal remote sensing (MMRS) image registration has become a research focus in recent years.
Xinyue Zhang 0013 +5 more
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Robust Registration of Multimodal Remote Sensing Images With Spectrum Congruency
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Among the existing registration methods, most feature descriptors are designed with image intensity, gradient information and phase congruency (PC). However, both intensity and gradient are sensitive to image illumination changes, complex intensity differences, noise, etc.
Jing Huang, Fang Yang 0005, Li Chai 0001
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Prediction of Seedling Oilseed Rape Crop Phenotype by Drone-Derived Multimodal Data
Remote Sensing, 2023 In recent years, unmanned aerial vehicle (UAV) remote sensing systems have advanced rapidly, enabling the effective assessment of crop growth through the processing and integration of multimodal data from diverse sensors mounted on UAVs.
Yang Yang +7 more
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Land-cover classification with remote sensing images based on low-rank fusion of multimodal features [PDF]
Zhihui kongzhi yu fangzhenMultimodal remote-sensing land classification aims to achieve more accurate and comprehensive extraction of land features in remote sensing images by integrating feature information from multiple remote sensing data sources.
LIU Wenjie, WU Xiaoning, DONG Fuan, ZHANG Jinwen, LI Yiyang, CHEN Yong
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SRTPN: Scale and Rotation Transform Prediction Net for Multimodal Remote Sensing Image Registration
, 2023 How to recover geometric transformations is one of the most challenging issues in image registration. To alleviate the effect of large geometric distortion in multimodal remote sensing image registration, a scale and rotate transform prediction net is ...
Ruyi Liu +6 more
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