Results 111 to 120 of about 5,679 (259)

Hyperspectral Band Selection via Joint Volume Gradient

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Unsupervised band selection (BS) is a crucial research direction in the domain of hyperspectral image (HSI) processing. In recent years, volume-based criteria have garnered considerable attention, with the volume-gradient-based BS (VGBS) algorithm being ...
Songyi Xiao, Liangliang Zhu, Shouzhi Li, Luyan Ji, Xiurui Geng   +4 more
doaj   +1 more source

Hyperspectral band selection and modeling of soil organic matter content in a forest using the Ranger algorithm. [PDF]

PLoS One, 2021
Shi Y, Zhao J, Song X, Qin Z, Wu L, Wang H, Tang J.   +6 more
europepmc   +1 more source

Supervised Embedded Methods for Hyperspectral Band Selection

Hyperspectral Imaging (HSI) captures rich spectral information across contiguous wavelength bands, supporting applications in precision agriculture, environmental monitoring, and autonomous driving. However, its high dimensionality poses computational challenges, particularly in real-time or resource-constrained settings.
Yaniv Zimmer, Ofir Lindenbaum, Oren Glickman   +2 more
openaire   +2 more sources

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source

Hyperspectral images segmentation: a proposal [PDF]

, 2009
Hyper-Spectral Imaging (HIS) also known as chemical or spectroscopic imaging is an emerging technique that combines imaging and spectroscopy to capture both spectral and spatial information from an object. Hyperspectral images are made up of contiguous
GORETTA, Nathalie, CHRISTOPHE, Florio, LELONG, Camille, Fiorio, Christophe, ROGER, Jean-Michel, Gorretta, Nathalie, Bellon Maurel, Véronique, RABATEL, Gilles, BELLON-MAUREL, Véronique   +8 more
core  

Gait feature subset selection by mutual information [PDF]

, 2007
Feature selection is an important pre-processing step for pattern recognition. It can discard irrelevant and redundant information that may not only affect a classifier’s performance, but also tell against system’s efficiency.
Mark S. Nixon, M.S. Nixon, Nixon, Mark, Mark. S. Nixon, Baofeng Guo, Guo, Baofeng   +5 more
core   +1 more source

A novel approach to estimate non‐algal particle absorption for improved retrieval of pigment concentrations in coastal waters

Limnology and Oceanography: Methods, EarlyView.
Abstract Phytoplankton play a central role in ocean biogeochemistry and understanding their composition and variability is critical for monitoring marine ecosystem dynamics. Continuous spectrophotometric measurements (using a Seabird Sci. AC‐S) along ship tracks enable high‐resolution measurements of particle spectral absorption (apλ$$ {a}_p\left ...
Margherita Costanzo, Vittorio E. Brando, Emmanuel Boss, Alison Chase, David Doxaran   +4 more
wiley   +1 more source

Comparing Laboratory and Satellite Hyperspectral Predictions of Soil Organic Carbon in Farmland

Agronomy
Mapping soil organic carbon (SOC) accurately is essential for sustainable soil resource management. Hyperspectral data, a vital tool for SOC mapping, is obtained through both laboratory and satellite-based sources.
Haixia Jin, Jingjing Peng, Rutian Bi, Huiwen Tian, Hongfen Zhu, Haoxi Ding   +5 more
doaj   +1 more source

HoloSpec: Dispersion‐Based 4D Computational Holographic Hyperspectral Imaging

Laser &Photonics Reviews, EarlyView.
HoloSpec, a compact dispersion‐based computational holographic system, achieves four‐dimensional imaging by retrieving 3D spatial structure and high‐resolution spectra from only two monochromatic snapshots. Using a single prism and a monochrome sensor, it resolves 430 spectral channels with 3 nm experimental resolution and 30 μm$\mathrm{\mu}\mathrm{m}$
Jingyan Chen, Yuxing Li, Yanmin Zhu, Edmund Y. Lam   +3 more
wiley   +1 more source

Reliable Task-Constrained Band Selection Method for Hyperspectral Anomaly Detection

Remote Sensing
Hyperspectral band selection utilizes a crucial band subset to represent original data. In hyperspectral anomaly detection tailored for specific tasks, detection performance can be enhanced by pre-selecting a subset of bands that are more representative.
Genrui Zhang, Wenzheng Wang, Yuqi Han, Chenwei Deng, Xingshi Luo   +4 more
doaj   +1 more source