Results 51 to 60 of about 1,362 (207)

Hyperspectral Unmixing with Gaussian Mixture Model and Low-Rank Representation

Remote Sensing, 2019
Gaussian mixture model (GMM) has been one of the most representative models for hyperspectral unmixing while considering endmember variability. However, the GMM unmixing models only have proper smoothness and sparsity prior constraints on the abundances ...
Yong Ma, Qiwen Jin, Xiaoguang Mei, Xiaobing Dai, Fan Fan, Hao Li, Jun Huang   +6 more
doaj   +1 more source

A Sparse Topic Relaxion and Group Clustering Model for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Hyperspectral unmixing (HU) has been a hot research topic in the field of hyperspectral remote sensing. In recent years, the employment of the probabilistic topic model to acquire the latent topics of hyperspectral images has been an effective method for
Qiqi Zhu, Linlin Wang, Wen Zeng, Qingfeng Guan, Zhen Hu   +4 more
doaj   +1 more source

Deep Generative Model for Spatial-spectral Unmixing with Multiple Endmember Priors [PDF]

, 2022
Spectral unmixing is an effective tool to mine information at the subpixel level from complex hyperspectral images. To consider the spatially correlated materials distributions in the scene, many algorithms unmix the data in a spatial-spectral fashion ...
Altmann, Yoann; id_orcid, Zhang, Lijun, Shi, Shuaikai, Chen, Jie   +3 more
core   +1 more source

Hyperspectral Unmixing with Gaussian Mixture Model and Spatial Group Sparsity

Remote Sensing, 2019
In recent years, endmember variability has received much attention in the field of hyperspectral unmixing. To solve the problem caused by the inaccuracy of the endmember signature, the endmembers are usually modeled to assume followed by a statistical ...
Qiwen Jin, Yong Ma, Erting Pan, Fan Fan, Jun Huang, Hao Li, Chenhong Sui, Xiaoguang Mei   +7 more
doaj   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

UAV Remote Sensing Estimation of Rice Yield Based on Adaptive Spectral Endmembers and Bilinear Mixing Model

Remote Sensing, 2021
The accurate estimation of rice yield using remote sensing (RS) technology is crucially important for agricultural decision-making. The rice yield estimation model based on the vegetation index (VI) is commonly used when working with RS methods, however,
Ningge Yuan, Yan Gong, Shenghui Fang, Yating Liu, Bo Duan, Kaili Yang, Xianting Wu, Renshan Zhu   +7 more
doaj   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

A Spectral Unmixing Method by Maximum Margin Criterion and Derivative Weights to Address Spectral Variability in Hyperspectral Imagery

Remote Sensing, 2019
Limited to the low spatial resolution of the hyperspectral imaging sensor, mixed pixels are inevitable in hyperspectral images. Therefore, to obtain the endmembers and corresponding fractions in mixed pixels, hyperspectral unmixing becomes a hot spot in ...
Yang Shao, Jinhui Lan
doaj   +1 more source

Ostracod faunal and geochemical evidence for the impact of Hoxnian (MIS 11c) sea levels in eastern England

Journal of Quaternary Science, EarlyView.
ABSTRACT Marine isotope substage 11c (~426–366 ka) is widely regarded as the most recent Pleistocene interglacial that is broadly analogous to the Holocene. The timing and magnitude of sea‐level changes during MIS 11 have been much debated, particularly concerning whether sea levels were significantly higher than during the Holocene. Empirical evidence
Tom S. White, Jonathan A. Holmes, David J. Horne, David R. Bridgland   +3 more
wiley   +1 more source

Model-based analysis of the relationship between endmember variability and temporal unmixing performance

GIScience & Remote Sensing
Temporal unmixing, an extension of traditional spectral unmixing in a multi-temporal context, leverages endmembers defined by their temporal signatures to decompose mixed pixel responses into fractional cover.
Da Zhang, Chen Shi
doaj   +1 more source