Results 21 to 30 of about 8,406 (209)

Estimating Optimal Number of Compressively Sensed Bands for Hyperspectral Classification via Feature Selection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Compressive sensing (CS) has received considerable interest in hyperspectral sensing. Recent articles have also exploited the benefits of CS in hyperspectral image classification (HSIC) in the compressively sensed band domain (CSBD).
C. J. Della Porta, Chein-I Chang
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Hyperspectral remote sensing of foliar nitrogen content [PDF]

Proceedings of the National Academy of Sciences, 2012
A strong positive correlation between vegetation canopy bidirectional reflectance factor (BRF) in the near infrared (NIR) spectral region and foliar mass-based nitrogen concentration (%N) has been reported in some temperate and boreal forests. This relationship, if true, would indicate an additional role for nitrogen in the climate system via its ...
Knyazikhin, Y., Schull, M., Stenberg, P., Mottus, M., Rautiainen, M., Yang, Y., Marshak, A., Latorre Carmona, P., Kaufmann, R., Lewis, P., Disney, M., Vanderbilt, V., Davis, A., Baret, F., Jacquemoud, S., Lyapustin, A., Myneni, R.   +16 more
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An Encoder–Decoder with a Residual Network for Fusing Hyperspectral and Panchromatic Remote Sensing Images

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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Hyperspectral remote sensing of plant pigments [PDF]

Journal of Experimental Botany, 2006
The dynamics of pigment concentrations are diagnostic of a range of plant physiological properties and processes. This paper appraises the developing technologies and analytical methods for quantifying pigments non-destructively and repeatedly across a range of spatial scales using hyperspectral remote sensing.
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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, Lin Wang, Hongye Xie, Chein-I Chang   +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, Vladimir Badenko, Ekaterina Shaydayuk, Dmitriy Emelyanov, Danila Eremenko, Dmitriy Klabukov, Alexander Fedotov, Viktor Dolzhenko   +7 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 Sensing
Change 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, Chi Yu, Feihong Zhou, Yulei Wang, Qiang Zhang   +4 more
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Hyperspectral Remote Sensing Image Classification With CNN Based on Quantum Genetic-Optimized Sparse Representation

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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Spectral-Enhanced Sparse Transformer Network for Hyperspectral Super-Resolution Reconstruction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral 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, Yulei Wang, Hongzhou Wang, Lifu Zhang, Enyu Zhao, Meiping Song, Chunyan Yu   +6 more
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V³IP Model: A Multiview Vegetation Information Perception Network for Wetland Mapping With Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral 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, Feihong Zhou, Chi Yu, Enyu Zhao, Yulei Wang, Yabin Hu, Haoyang Yu   +6 more
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