Results 41 to 50 of about 57,543 (231)
Remote Sensing, 2022 For many urban studies it is necessary to obtain remote sensing images with high hyperspectral and spatial resolution by fusing the hyperspectral and panchromatic remote sensing images.
Rui Zhao, Shihong Du
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Fusion of Various Band Selection Methods for Hyperspectral Imagery
Remote Sensing, 2019 This paper presents an approach to band selection fusion (BSF) which fuses bands produced by a set of different band selection (BS) methods for a given number of bands to be selected, nBS.
Yulei Wang +3 more
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Hyperspectral Remote Sensing for Early Detection of Wheat Leaf Rust Caused by Puccinia triticina
Agriculture, 2023 Early crop disease detection is one of the most important tasks in plant protection. The purpose of this work was to evaluate the early wheat leaf rust detection possibility using hyperspectral remote sensing.
Anton Terentev +7 more
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Drones: Innovative Technology for Use in Precision Pest Management. [PDF]
, 2020 Arthropod pest outbreaks are unpredictable and not uniformly distributed within fields. Early outbreak detection and treatment application are inherent to effective pest management, allowing management decisions to be implemented before pests are well ...
de Lange, Elvira S +3 more
core +1 more source
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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IEEE Access, 2020 Due to the characteristics of the spectrum integration, information redundancy, spectrum mixing phenomenon and nonlinearity of the hyperspectral remote sensing images, it is a major challenging task to classify the hyperspectral remote sensing images ...
Huayue Chen, Fang Miao, Xu Shen
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Optimized kernel minimum noise fraction transformation for hyperspectral image classification [PDF]
, 2017 This paper presents an optimized kernel minimum noise fraction transformation (OKMNF) for feature extraction of hyperspectral imagery. The proposed approach is based on the kernel minimum noise fraction (KMNF) transformation, which is a nonlinear ...
Gao, Lianru +4 more
core +2 more sources
Spectral-Enhanced Sparse Transformer Network for Hyperspectral Super-Resolution Reconstruction
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral image (HSI) has garnered increasing attention due to its capacity for capturing extensive spectral information. However, the acquisition of high spatial resolution HSIs is often restricted by current imaging hardware limitations.
Yuchao Yang +6 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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Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering
Advanced Photonics Research, Volume 6, Issue 5, May 2025.Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik +7 more
wiley +1 more source