Results 21 to 30 of about 1,892,060 (143)

Robust linear unmixing with enhanced constraint of classification for hyperspectral remote sensing imagery

open access: yesIET Image Processing, 2022
Although hyperspectral data, especially spaceborne images, are rich in spectral information, their spatial resolution is usually low due to the limitation of sensor design and other factors.
Haoyang Yu   +5 more
doaj   +1 more source

Editorial for Special Issue “Advances in Hyperspectral Data Exploitation”

open access: yesRemote Sensing, 2022
Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data.
Chein-I Chang   +8 more
doaj   +1 more source

Hyperspectral cathodoluminescence imaging of modern and fossil carbonate shells [PDF]

open access: yes, 2006
Optical cathodoluminescence (CL) is commonly used to identify diagenetically altered carbonate fossils, yet such an interpretation is problematic as present-day carbonate shells may also luminesce.
Martin, Robert   +19 more
core   +3 more sources

Extended Subspace Projection Upon Sample Augmentation Based on Global Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Band redundancy and limitation of labeled samples restrict the development of hyperspectral image classification (HSIC) greatly. To address the earlier issues, the classification models such as subspace-based support vector machines, which have gained a ...
Jiaochan Hu   +5 more
doaj   +1 more source

Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
This article proposed a novel spectral-spatial classification framework for hyperspectral image (HSI) through combining collaborative representation (CR) and maximum margin projection (MMP).
Haoyang Yu   +6 more
doaj   +1 more source

Band Subset Selection for Hyperspectral Image Classification

open access: yesRemote Sensing, 2018
This paper develops a new approach to band subset selection (BSS) for hyperspectral image classification (HSIC) which selects multiple bands simultaneously as a band subset, referred to as simultaneous multiple band selection (SMMBS), rather than one ...
Chunyan Yu, Meiping Song, Chein-I Chang
doaj   +1 more source

Neighborhood Activity-Driven Representation for Hyperspectral Imagery Classification

open access: yesIEEE 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
doaj   +1 more source

Characterizing and controlling infrared phonon anomaly of bilayer graphene in optical-electrical force nanoscopy

open access: yesLight: 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
doaj   +1 more source

Beyond being wise after the event: Combining spatial, temporal and spectral information for Himawari-8 early-stage wildfire detection

open access: yesInternational 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
doaj   +1 more source

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

open access: yesIEEE 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
doaj   +1 more source

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