Results 61 to 70 of about 1,244,965 (221)

Endmember Bundle Extraction based on Multi-objective Optimization [PDF]

, 2021
A number of endmember extraction methods have been developed to identify pure pixels in hyperspectral images (HSIs). The majority of them use only one spectrum to represent one kind of material, which ignores the spectral variability problem that ...
Liu, Rong, Zhu, Xiao Xiang, Xiaoxiang Zhu, Rong Liu   +3 more
core   +1 more source

Development of a Class-Based Multiple Endmember Spectral Mixture Analysis (C-MESMA) Approach for Analyzing Urban Environments

Remote Sensing, 2016
Multiple endmember spectral mixture analysis (MESMA) has been widely applied for estimating fractional land covers from remote sensing imagery. MESMA has proven effective in addressing inter-class and intra-class endmember variability by allowing pixel ...
Yingbin Deng, Changshan Wu
doaj   +1 more source

Hyperspectral Unmixing Network Accounting for Spectral Variability Based on a Modified Scaled and a Perturbed Linear Mixing Model

Remote Sensing, 2023
Spectral unmixing is one of the prime topics in hyperspectral image analysis, as images often contain multiple sources of spectra. Spectral variability is one of the key factors affecting unmixing accuracy, since spectral signatures are affected by ...
Ying Cheng, Liaoying Zhao, Shuhan Chen, Xiaorun Li   +3 more
doaj   +1 more source

Heterogeneous Exhumation Mechanisms in Neoproterozoic Collisional Metamorphism: P–T Constraints From Pelotas and Punta del Este Terranes, Southern Brazil and Uruguay

Geological Journal, EarlyView.
Petrography, thermobarometry, and pseudosection modelling reveal peak metamorphic conditions of 3–7.5 kbar and 520°C–800°C in Tonian‐Cryogenian orthogneisses of the Dom Feliciano Belt. Metamorphic field gradients of 27°C/km–39°C/km and variable exhumation mechanisms support correlation of these units as remnants of a Himalayan‐type Piratini Orogeny ...
Thaiane Niederauer‐Santos, Carla Cristine Porcher, Daniel Triboli Vieira, Edinei Koester, Diego Jaldín, Karina Luengo, Luisa Caon   +6 more
wiley   +1 more source

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

Small‐Scale Topographic Variability Shapes Molecular Diversity of Organic Matter in Coastal Dune Soils

Journal of Plant Nutrition and Soil Science, EarlyView.
Topography shapes ecosystem controls, driving microclimate, hydrology, and vegetation, which, in turn, influence topsoil traits and DOM composition in coastal dune soils. Distinct molecular patterns emerge across north‐facing and south‐facing slopes and dune valleys.
Lejonina Herting, Hannelore Waska, Kojo Amoako, Stephan L. Seibert, Gudrun Massmann, Philipp Maurischat   +5 more
wiley   +1 more source

Responses of primary producers, anoxia, and chemical feedback to Late Glacial climate change: Insights from a paired lake approach

Journal of Quaternary Science, EarlyView.
Abstract Worldwide, lacustrine ecosystems are threatened by eutrophication and deoxygenation. Both processes are driven by the combined effects of human activities and climate change. Understanding the pre‐anthropogenic nexus between warming, eutrophication, deoxygenation, and related feedback is essential to determine how lakes respond to rapid ...
Noé R.M.M. Schmidhauser, Stan J. Schouten, Petra Zahajská, Andrea Lami, Jacqueline F.N. van Leeuwen, Rik Tjallingii, Hendrik Vogel, Martin Grosjean   +7 more
wiley   +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

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