Results 11 to 20 of about 270,656 (363)
SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2021 Hyperspectral (HS) images are characterized by approximately contiguous spectral information, enabling the fine identification of materials by capturing subtle spectral discrepancies.
D. Hong +6 more
semanticscholar +1 more source
Graph Convolutional Networks for Hyperspectral Image Classification [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2020 Convolutional neural networks (CNNs) have been attracting increasing attention in hyperspectral (HS) image classification due to their ability to capture spatial–spectral feature representations.
D. Hong +5 more
semanticscholar +1 more source
A broadband hyperspectral image sensor with high spatio-temporal resolution [PDF]
Nature, 2023 Hyperspectral imaging provides high-dimensional spatial–temporal–spectral information showing intrinsic matter characteristics1–5. Here we report an on-chip computational hyperspectral imaging framework with high spatial and temporal resolution.
Liheng Bian +11 more
semanticscholar +1 more source
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
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012 Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than multispectral cameras.
J. Bioucas-Dias +6 more
semanticscholar +1 more source
Deep Learning for Hyperspectral Image Classification: An Overview [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2019 Hyperspectral image (HSI) classification has become a hot topic in the field of remote sensing. In general, the complex characteristics of hyperspectral data make the accurate classification of such data challenging for traditional machine learning ...
Shutao Li +5 more
semanticscholar +1 more source