Results 11 to 20 of about 153,077 (360)
Nanophotonics, 2023 To comprehensively describe the operation of photo-induced force microscopy (PiFM), we have developed a model based on coupled harmonic oscillators. This model features two point masses connected by massless elastic wires, offering greater intuitiveness ...
Jahng Junghoon, Lee Eun Seong
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Target extraction can provide a prior knowledge for spectral unmixing, unsupervised hyperspectral image classification, and unsupervised target detection tasks, which is of great practice.
Xiaodi Shang +4 more
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Hyperspectral Pansharpening: A Review [PDF]
IEEE Geoscience and Remote Sensing Magazine, 2015 Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter. In the last decade, many algorithms have been presented in the literature for pansharpening using multispectral data.
Loncan L. +14 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Convolutional neural networks (CNN) have led to a successful breakthrough for hyperspectral image classification (HSIC). Due to the intrinsic spatial-spectral specificities of a hyperspectral cube, feature extraction with 3-D convolution operation is a ...
Chunyan Yu +4 more
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Automatic Detection of Aquatic Weeds: A Case Study in the Guadiana River, Spain
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 The spread of aquatic invasive plants is a major concern in several zones of the world's geography. These plants, which are not part of the natural ecosystem, cause a negative impact to the environment, as well as to economy and society. In Spain,
Elena C. Rodriguez-Garlito +2 more
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Hyperspectral Subspace Identification [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2008 Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage.
Bioucas-Dias, José M., Nascimento, Jose
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HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification [PDF]
IEEE Geoscience and Remote Sensing Letters, 2019 Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images.
S. K. Roy +3 more
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IET 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
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Multispectral images collected by the European Space Agency's Sentinel-2 satellite offer a powerful resource for accurately and efficiently mapping areas affected by the distribution of invasive aquatic plants.
Elena Cristina Rodriguez-Garlito +2 more
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SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 [PDF]
Earth System Science Data, 2022 The drawbacks of low-coverage rate in global land inevitably exist in satellite-based daily soil moisture products because of the satellite orbit covering scopes and the limitations of soil moisture retrieving models.
Q. Zhang +4 more
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