Results 51 to 60 of about 1,892,060 (143)
Food security is a growing global concern, and accurate crop mapping in major grain-producing regions like China’s Sanjiang Plain—which contributes approximately 7% of national grain output—is essential for agricultural resource management. However, crop
Enyu Zhao +4 more
doaj +1 more source
Visible hyperspectral image (V-HSI) and thermal infrared hyperspectral image (TI-HSI) have been crucial data sources for land cover classification. V-HSI can directly provide information of land surface, such as shape, color, texture, and other features.
Enyu Zhao +5 more
doaj +1 more source
Hyperspectral Imaging Techniques in Search of Geologic Hydrogen: A Review
New energy sources are crucial for powering next-generation transportation and supplying reliable energy in remote regions. Hydrogen is an attractive energy carrier because its utilization produces only water as a byproduct.
Roozbeh Rajabi +5 more
doaj +1 more source
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches [PDF]
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.
Paul Gader +13 more
core +1 more source
Fusing low-resolution hyperspectral images (HSI) with high-resolution multispectral images (MSI) has become a promising technique for generating high-resolution HSI, effectively addressing the low spatial resolution limitations of hyperspectral data ...
Jia Jia +5 more
doaj +1 more source
Rethinking Separability Map: A Target-Specified Separability Map for Hyperspectral Target Detection
Separability map (SM) is a widely used visualization tool for hyperspectral anomaly detection. It selects a fixed percentile range of [τSM%,100%-τSM%] and then uses it to construct an anomaly box (ax) and a background ...
Yuchao Yang +7 more
doaj +1 more source
Quality criteria benchmark for hyperspectral imagery [PDF]
Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community.
Christophe, Emmanuel +2 more
core +1 more source
Illumination invariance and shadow compensation via spectro-polarimetry technique [PDF]
A major problem for obtaining target reflectance via hyperspectral imaging systems is the presence of illumination and shadow effects. These factors are common artefacts, especially when dealing with a hyperspectral imaging system that has sensors in the
Jackman, James +6 more
core +1 more source
Multiscale NMF based on intra-pixel and inter-pixel structure adjustment for spectral unmixing
Various improved nonnegative matrix factorization (NMF) methods have been widely used in spectral unmixing (SU), including nonlinear versions to counter for the lower spatial resolution and interaction between materials.
Tingting Yang +3 more
doaj +1 more source
Hyperspectral imaging for the remote sensing of blood oxygenation and emotions [PDF]
This PhD project is a basic research and it concerns with how human’s physiological features, such as tissue oxygen saturation (StO2), can be captured from a stand-off distance and then to understand how this remotely acquired physiological feature ...
Chen, Tong
core +3 more sources

