Results 91 to 100 of about 6,533 (191)

DMAE-HU: A novel deep multitasking autoencoder for hybrid hyperspectral unmixing in remote sensing

ICT Express
Hyperspectral unmixing (HU) is crucial for extracting material information from hyperspectral images (HSI) obtained through remote sensing. Although linear unmixing methods are widely used due to their simplicity, they only address linear mixing effects.
Suresh Aala, Prudhvi Krishna Pavuluri, Anuj Deshpande, Sravan Kumar Sikhakolli, Karthikeyan Elumalai, Sunil Chinnadurai, Eswar Panchakarla, Md. Abdul Latif Sarker, Dong Seog Han   +8 more
doaj   +1 more source

Satellite Remote Sensing of Alpine Vegetation Dynamics: Challenges and Perspectives

Global Change Biology, Volume 32, Issue 6, June 2026.
Satellite greening has become a key tool for monitoring alpine vegetation change, but a positive vegetation‐index trend is not an ecological observation in itself. This perspective shows that interpreting alpine greening requires addressing two sequential challenges: methodological complexity, which can bias trends during image processing, and ...
Arthur Bayle
wiley   +1 more source

Metabolic FRET sensors in intact organs: Applying spectral unmixing to acquire reliable signals. [PDF]

Biol Open, 2023
Gándara L, Durrieu L, Wappner P.
europepmc   +1 more source

A Hierarchical VvbHLH30‐VvERF70‐VvACS2 Module Orchestrates Ethylene Biosynthesis and Cold Adaptation in Grapevine

Plant Biotechnology Journal, Volume 24, Issue 6, Page 4317-4341, June 2026.
ABSTRACT Ethylene is a key gaseous phytohormone that plays crucial roles in regulating plant growth, development and stress responses. However, ethylene‐associated biosynthetic and transcriptional regulatory mechanisms governing cold‐adaptation responses in plants remain poorly understood.
Yujun Hou, Darren C. J. Wong, Lina Wang, Yuanxi Kang, Huimin Zhou, Subash Kafle, Yalong Liu, Meilong Xu, Lin Meng, Zhenchang Liang, Guanghui Yu, Qingfeng Wang, Haiping Xin   +12 more
wiley   +1 more source

AutoUnmix: an autoencoder-based spectral unmixing method for multi-color fluorescence microscopy imaging. [PDF]

Biomed Opt Express, 2023
Jiang Y, Sha H, Liu S, Qin P, Zhang Y.
europepmc   +1 more source

Probabilistic Mixture Model-Based Spectral Unmixing

Applied Sciences
Spectral unmixing attempts to decompose a spectral ensemble into the constituent pure spectral signatures (called endmembers) along with the proportion of each endmember.
Oliver Hoidn, Aashwin Ananda Mishra, Apurva Mehta   +2 more
doaj   +1 more source

Robust Multiscale Spectral–Spatial Regularized Sparse Unmixing for Hyperspectral Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the aid of endmember spectral libraries, sparse unmixing plays a critical role in interpreting hyperspectral remote sensing data. Integrating spatial clues from hyperspectral data into sparse unmixing frameworks is pivotal for enhancing unmixing ...
Ke Wang, Lei Zhong, Jiajun Zheng, Shaoquan Zhang, Fan Li, Chengzhi Deng, Jingjing Cao, Dingli Su   +7 more
doaj   +1 more source

Blind spectral unmixing for characterization of plaque composition based on multispectral photoacoustic imaging. [PDF]

Sci Rep, 2023
Cano C, Matos C, Gholampour A, van Sambeek M, Lopata R, Wu M.   +5 more
europepmc   +1 more source

Multi-resolution terrestrial hyperspectral dataset for spectral unmixing problems. [PDF]

Data Brief, 2022
Manohar Kumar CVSS, Jha SS, Nidamanuri RR, Dadhwal VK.   +3 more
europepmc   +1 more source

Linear Spatial Misregistration Detection and Correction Based on Spectral Unmixing for FAHI Hyperspectral Imagery. [PDF]

Sensors (Basel), 2022
Zhang X, Cheng X, Xue T, Wang Y.
europepmc   +1 more source