Results 21 to 30 of about 8,883 (219)
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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Development and Application of Hyperspectral Remote Sensing [PDF]
, 2019 Since the early 1960s, multispectral imagery has been served as the data source for earth observational remote sensing (RS) in the last thirty years; the advancement of sensor technology had made it accessible to colleting hundreds continues spectral bands-hyperspectral RS.
Huimin Xing +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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Band Subset Selection for Hyperspectral Image Classification
Remote 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
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Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation
Remote Sensing, 2020 Sparse representation (SR)-based models have been widely applied for hyperspectral image classification. In our previously established constraint representation (CR) model, we exploited the underlying significance of the sparse coefficient and proposed ...
Haoyang Yu +5 more
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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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Special Issue “Hyperspectral Remote Sensing of Agriculture and Vegetation” [PDF]
Remote Sensing, 2020 The advent of up-to-date hyperspectral technologies, and their increasing performance both spectrally and spatially, allows for new and exciting studies and practical applications in agriculture (soils and crops) and vegetation mapping and monitoring atregional (satellite platforms) andwithin-field (airplanes, drones and ground-based platforms) scales.
Simone Pascucci +4 more
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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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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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An Adaptive Capsule Network for Hyperspectral Remote Sensing Classification [PDF]
Remote Sensing, 2021 The capsule network (Caps) is a novel type of neural network that has great potential for the classification of hyperspectral remote sensing. However, the Caps suffers from the issue of gradient vanishing. To solve this problem, a powered activation regularization based adaptive capsule network (PAR-ACaps) was proposed for hyperspectral remote sensing ...
Ding, Xiaohui +6 more
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