Results 101 to 110 of about 828,208 (170)

A Two-Stage Decoupling Framework for Blind Hyperspectral Unmixing: Separately Refining Endmembers and Abundances

Remote Sensing
Hyperspectral unmixing (HU) aims to estimate endmembers and their corresponding abundances, a task commonly referred to as blind hyperspectral unmixing (BLU). Nonnegative matrix factorization (NMF) provides a unified framework for their joint estimation.
Hengnuo Liu, Yulin Zhang, Yanyan Li, Yongli Wang, Xiuchuan Chen   +4 more
doaj   +1 more source

A Fast Sparse NMF Optimization Algorithm for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral remote sensing images have received extensive attention because of their high spectral resolution. However, the limitation of spatial resolution of imaging spectrometers results in a large number of mixed pixels, which restricts the ...
Kewen Qu, Zhenqing Li
doaj   +1 more source

Derivation of synthetic endmembers for linear unmixing to improve parameter estimation for soil erosion modelling in agricultural ecosystems. [PDF]

, 2007
Physically based erosion models have been widely accepted in soil erosion risk assessment in the past years but their application is still restricted due to a large disparity between required model input parameters and data availability.
Borg, Erik, Gerighausen, Heike
core  

In situ detection of water on the Moon by the Chang'E-5 lander. [PDF]

Sci Adv, 2022
Lin H, Li S, Xu R, Liu Y, Wu X, Yang W, Wei Y, Lin Y, He Z, Hui H, He H, Hu S, Zhang C, Li C, Lv G, Yuan L, Zou Y, Wang C.   +17 more
europepmc   +1 more source

Diffusion Model Based Hyperspectral Unmixing Using Spectral Prior Distribution

Hyperspectral unmixing is a crucial task for identifying the constituent materials and their respective distributions in a scene. Utilizing known spectral libraries as prior information, semi-blind unmixing methods (also known as spectral-library-based ...
Qian, Yuntao, Zhou, Jun, Deng, Keli, Nie, Jie   +3 more
core   +1 more source

Classification techniques for hyperspectral remote sensing [PDF]

, 2011
This study concerns with classification techniques in high dimensional space such as that of Hyperspectral Imaging (HSI) data sets, with objectives of understanding the strength and weakness of various classifiers and at the same time to study how ...
Kam, Firmin
core  

3D Polymer Architectures for the Identification of Optimal Dimensions for Cellular Growth of 3D Cellular Models. [PDF]

Polymers (Basel), 2022
Maibohm C, Saldana-Lopez A, Silvestre OF, Nieder JB.   +3 more
europepmc   +1 more source

Spatial sterol metabolism unveiled by stimulated Raman imaging. [PDF]

Front Chem, 2023
Zhang Y, Zhou Y, Fang W, Zhu H, Ye C, Zhang D, Lee HJ.   +6 more
europepmc   +1 more source

The AMEE-PPI Method to Extract Typical Outcrop Endmembers from GF-5 Hyperspectral Images. [PDF]

Sensors (Basel)
Hu L, Hu J, Gan S, Yuan X, Lu Y, Zhao H, Han G.   +6 more
europepmc   +1 more source

Hyperspectral Image Classification: Potentials, Challenges, and Future Directions. [PDF]

Comput Intell Neurosci, 2022
Datta D, Mallick PK, Bhoi AK, Ijaz MF, Shafi J, Choi J.   +5 more
europepmc   +1 more source