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Nature Reviews Methods PrimersHyperspectral imaging (HSI) is an advanced sensing modality that simultaneously captures spatial and spectral information, enabling non-invasive, label-free analysis of material, chemical, and biological properties. This Primer presents a comprehensive overview of HSI, from the underlying physical principles and sensor architectures to key steps in ...
Danfeng Hong +8 more
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Hyperspectral Mamba for Hyperspectral Object Tracking
CoRRHyperspectral object tracking holds great promise due to the rich spectral information and fine-grained material distinctions in hyperspectral images, which are beneficial in challenging scenarios. While existing hyperspectral trackers have made progress by either transforming hyperspectral data into false-color images or incorporating modality fusion ...
Long Gao +4 more
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En-Decoded Index Guided Edge Refinement Network for Change Detection of Remote Sensing Image
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingChange detection (CD) aims to analyze pairs of remote sensing images (RSIs) that are captured at different times to identify valuable information regarding changes in land features, which plays a crucial role in the fields of urban planning ...
Chunyan Yu +4 more
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Neighborhood Activity-Driven Representation for Hyperspectral Imagery Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 In the classic sparse representation (SR)-based models and their improved versions with the spatial consistency, such as joint representation (JR)-based frameworks, the sparse coefficient is generally considered with the dictionary together for ...
Haoyang Yu +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral remote sensing technology in wetland precise mapping plays a crucial role in ecological monitoring. Currently, hyperspectral image (HSI) wetland mapping achieves remarkable progress with the development of deep learning (DL) technology ...
Chunyan Yu +6 more
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Light: Science & Applications, 2023 We, for the first time, report the nanoscopic imaging study of anomalous infrared (IR) phonon enhancement of bilayer graphene, originated from the charge imbalance between the top and bottom layers, resulting in the enhancement of E1u mode of bilayer ...
Junghoon Jahng +8 more
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Endmember Estimation with Maximum Distance Analysis
Remote Sensing, 2021 Endmember estimation plays a key role in hyperspectral image unmixing, often requiring an estimation of the number of endmembers and extracting endmembers.
Xuanwen Tao +5 more
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Hyperspectral Adapter for Object Tracking based on Hyperspectral Video
CoRRObject tracking based on hyperspectral video attracts increasing attention to the rich material and motion information in the hyperspectral videos. The prevailing hyperspectral methods adapt pretrained RGB-based object tracking networks for hyperspectral tasks by fine-tuning the entire network on hyperspectral datasets, which achieves impressive ...
Long Gao +5 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 Wildfires frequently occur around the world, which seriously threaten the ecology, environment, economic development, even human safety. In this work, we propose a novel framework for near-real-time and early-stage wildfire detection using Himawari-8 ...
Qiang Zhang +4 more
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AlgorithmsThis paper describes the design, implementation, and usage of a Python package called Hyperspectral Python (HypPy). Proprietary software for processing hyperspectral images is expensive, and tools developed using these packages cannot be freely distributed.
Wim H. Bakker +5 more
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