Results 71 to 80 of about 1,381,574 (256)

A Spatial-Temporal Attention-Based U-Net for Crop Mapping from Time-Series Sentinel-2 Imagery: A Case in Sanjiang Plain

Remote Sensing
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, Wei Zhang, Yulei Wang, Hao Zhang, Hang Zhao   +4 more
doaj   +1 more source

ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery [PDF]

Sensors, 2018
The diverse density (DD) algorithm was proposed to handle the problem of low classification accuracy when training samples contain interference such as mixed pixels. The DD algorithm can learn a feature vector from training bags, which comprise instances (pixels).
Na Li 0014, Zhaopeng Xu, Huijie Zhao, Xinchen Huang, Zhenhong Li 0001, Jane Drummond, Daming Wang   +6 more
openaire   +6 more sources

Optimizing Soil Organic Matter Estimation Through Multi‐Factor Zoning and Tree‐Based Automated Learning

Land Degradation &Development, EarlyView.
ABSTRACT Soil organic matter (SOM) is a key indicator of land degradation and soil functioning. It plays an essential role in nutrient cycling, soil structure, and long‐term agroecosystem resilience. The variations of surface cover, soil moisture and soil texture heterogeneity will affect the accuracy of SOM remote sensing mapping. This study developed
Xuzhou Qu, Meiyan Shu, Huiming Song, Xiaohe Gu, Jingping Zhou, Qian Sun, Baoyuan Zhang, Menglei Dai, Chunjiang Zhao   +8 more
wiley   +1 more source

High Performance Computing for Hyperspectral Remote Sensing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2011
Advances in sensor and computer technology are revolutionizing the way remotely sensed data is collected, managed and analyzed. In particular, many current and future applications of remote sensing in Earth science, space science, and soon in exploration science will require real- or near real-time processing capabilities.
Antonio Plaza, Qian Du 0001, Yang-Lang Chang, Roger L. King   +3 more
openaire   +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

Characterization and Repetition Rate Locking of a 1 GHz Erbium‐Doped ZBLAN Waveguide‐Chip Comb Laser

Laser &Photonics Reviews, EarlyView.
A compact, erbium‐doped ZBLAN waveguide chip mode‐locked laser that self‐starts, delivers stable ultrashort pulses, and repetition rate locked to a 1 GHz radio‐frequency reference. The laser produces near transform‐limited 324 fs pulses and 12 nm bandwidth with low noise and long‐term stability, with potential applications in optical frequency ...
Wen Qi Zhang, Nicolas Bourbeau Hébert, Dale E. Otten, Colin Hall, David G. Lancaster   +4 more
wiley   +1 more source

TEBS: Temperature–Emissivity–Driven band selection for thermal infrared hyperspectral image classification with structured State-Space model and gated attention

International Journal of Applied Earth Observations and Geoinformation
Thermal infrared hyperspectral images (TIR-HSIs) provide unique spectral insights that are often unattainable with visible imagery, making them invaluable for applications such as land cover classification and geological mapping.
Enyu Zhao, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng   +4 more
doaj   +1 more source

Quantitative mapping and spectroscopic characterization of particulate organic matter fractions in soil profiles with imaging VisNIR spectroscopy

Scientific Reports, 2021
Organic matter is an important constituent of soils that controls many soil functions and is of vital importance for ecosystem services like climate regulation and food security.
Markus Steffens, Lilli Zeh, Derek M. Rogge, Henning Buddenbaum   +3 more
doaj   +1 more source

Customizing kernel functions for SVM-based hyperspectral image classification [PDF]

, 2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms.
Damper, R. I., Guo, B., Steve R. Gunn, Gunn, S. R., R. I. Damper, Baofeng Guo, Nelson, J. D. B., James D. B. Nelson   +7 more
core   +2 more sources

A recipe for recovery: diet as a decisive tool in species conservation

Oikos, EarlyView.
Animals consume foods in specific quantities and ratios to meet a multi‐dimensional nutrient target that maximizes their fitness. Attempts to reach this target in an ever‐changing nutritional landscape often influence animal foraging behavior, habitat choice, and food‐web interactions. Consequently, understanding the nutritional ecology of a species is
Noa Lavie, Yael Levinson, Jessica M. Rothman, Dror Hawlena   +3 more
wiley   +1 more source