Multi-resolution terrestrial hyperspectral dataset for spectral unmixing problems
Recent developments in the miniaturization of hyperspectral imaging sensors have given rise to the increased use of hyperspectral imagery as the primary data for evaluating spectral unmixing algorithms in applications such as industrial quality control, agriculture, mineral mapping, military, etc. T...
Main Authors: | C.V.S.S. Manohar Kumar, Sudhanshu Shekhar Jha, Rama Rao Nidamanuri, Vinay Kumar Dadhwal |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-08-01
|
Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340922005339 |
Similar Items
-
In-situ and airborne hyperspectral data for detecting agricultural activities in a dense forest landscape
by: C.B. Rajesh, et al.
Published: (2023-10-01) -
Unmixing of Hyperspectral Data Using Spectral Libraries
by: Sefa Küçük, et al.
Published: (2020-04-01) -
Non-linear spectral unmixing of hyperspectral data using Modified PPNMM
by: Ankur Dixit, et al.
Published: (2021-03-01) -
Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability
by: Tatsumi Uezato, et al.
Published: (2020-07-01) -
Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects
by: Yannick Deville, et al.
Published: (2023-09-01)