Results 11 to 20 of about 98,568 (293)

An Integrated Framework Coupling Hierarchical Hyperspectral i-trait Screening, Gene Identification, and Functional Validation for Genetic Dissection of Salt Tolerance in Cotton. [PDF]

Adv Sci (Weinh)
An integrated phenomics–genomics framework captures dynamic salt‐stress responses in laboratory‐grown cotton seedlings through time‐series hyperspectral imaging and non‐destructive i‐trait extraction. Hierarchical screening identifies biologically relevant, heritable, and non‐redundant traits for high‐resolution GWAS, identifying GhST7.
Xu B, Liu L, Yu M, Guo Y, Ye J, Zhang J, Zhao R, Yang J, Yang W, Xu Y, Fan L, Yang Z.   +11 more
europepmc   +2 more sources

Snapshot Spatiotemporal‐Spectral Imaging Enabled by Joint Photonic Encoding [PDF]

Advanced science
Spectra4D enables snapshot spatiotemporal‐spectral imaging by combining high‐speed DMD temporal modulation with CMOS‐integrated Fabry‐Pérot spectral encoding. From a single 2D measurement, a dual‐mask‐guided reconstruction network recovers multiple time‐resolved hyperspectral frames, enabling high‐fidelity observation of rapidly evolving spatial ...
Chen C, Wen J, Sha H, Yang C, Chen Z, Feng X, Chen T, Zou W, Chen X, Ji X, Liu G, Zhang Y.   +11 more
europepmc   +2 more sources

Hyperspectral imaging

Nature Reviews Methods Primers
Hyperspectral imaging (HSI) is an advanced sensing modality that simultaneously captures spatial and spectral information, enabling non-invasive, label-free analysis of material, chemical, and biological properties. This Primer presents a comprehensive overview of HSI, from the underlying physical principles and sensor architectures to key steps in ...
Danfeng Hong, Chenyu Li, Naoto Yokoya, Bing Zhang, Xiuping Jia, Antonio Plaza, Paolo Gamba, Jon Atli Benediktsson, Jocelyn Chanussot   +8 more
openaire   +3 more sources

Hyperspectral Satellites, Evolution, and Development History

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Hyperspectral imaging has been emerged as a new generation of technology for earth observation and space exploration since the beginning of this millennium and widely used in various disciplinary and applications.
Shen-En Qian
exaly   +3 more sources

Effective classification of Chinese tea samples in hyperspectral imaging [PDF]

, 2013
Maximum likelihood and neural classifiers are two typical techniques in image classification. This paper investigates how to adapt these approaches to hyperspectral imaging for the classification of five kinds of Chinese tea samples, using visible light ...
Ren, Jinchang, Marshall, Stephen, Kelman, Timothy   +2 more
core   +4 more sources

Unsupervised Domain Adaptation With Dense-Based Compaction for Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Enormously hard work of label obtaining leads to the lack of enough annotated samples in the hyperspectral imagery (HSI). The mentioned reality inferred the unsupervised classification performance barely satisfactorily.
Chunyan Yu, Caiyu Liu, Haoyang Yu, Meiping Song, Chein-I Chang   +4 more
doaj   +1 more source

A Spatial-Enhanced LSE-SFIM Algorithm for Hyperspectral and Multispectral Images Fusion

Remote Sensing, 2021
The fusion of a hyperspectral image (HSI) and multispectral image (MSI) can significantly improve the ability of ground target recognition and identification.
Yulei Wang, Qingyu Zhu, Yao Shi, Meiping Song, Chunyan Yu   +4 more
doaj   +1 more source

A New Deep Convolutional Network for Effective Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Hyperspectral unmixing extracts pure spectral constituents (endmembers) and their corresponding abundance fractions from remotely sensed scenes. Most traditional hyperspectral unmixing methods require the results of other endmember extraction algorithms ...
Xuanwen Tao, Mercedes E. Paoletti, Lirong Han, Zhaoyue Wu, Peng Ren, Javier Plaza, Antonio Plaza, Juan M. Haut   +7 more
doaj   +1 more source

Orthogonal Subspace Projection Target Detector for Hyperspectral Anomaly Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Orthogonal subspace projection (OSP) is a versatile hyperspectral imaging technique which has shown great potential in dimensionality reduction, target detection, spectral unmixing, etc. However, due to its inherent requirement of prior target knowledge,
Chein-I Chang, Hongju Cao, Meiping Song
doaj   +1 more source

Illumination invariance and shadow compensation on hyperspectral images [PDF]

, 2014
To obtain intrinsic reflectance of the scene by hyperspectral imaging systems has been a scientific and engineering challenge. Factors such as illumination variations, atmospheric effects and viewing geometries are common artefacts which modulate the way
Ibrahim, Izzati
core   +6 more sources