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A novel inequality-constrained weighted linear mixture model for endmember variability

  • Published:2021-05 Issue: Volume:257 Page:112359
  • ISSN:0034-4257
  • Container-title:Remote Sensing of Environment
  • language:en
  • Short-container-title:Remote Sensing of Environment

Author:

Yu Jie,Wang Bin,Lin Yi,Li Fengting,Cai Jianqing

Funder

Jiangsu Province Natural Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference46 articles.

1. Total least squares solution of coordinate transformation;Akyilmaz;Surv. Rev.,2007

2. Impact of tissue, canopy, and landscape factors on the hyperspectral reflectance variability of arid ecosystems;Asner;Remote Sens. Environ.,2000

3. Hyperspectral pixel Unmixing via spectral band selection and dc-insensitive singular value decomposition;Ball;IEEE Geosci. & Remote Sensing Lett.,2007

4. Theoretical and experimental assessment of noise effects on least-squares spectral Unmixing of hyperspectral images;Barducci;Opt. Eng.,2005

5. Endmember bundles: a new approach to incorporating endmember variability into spectral mixture analysis;Bateson;IEEE Transac. Geosci. Remote Sensing,2000
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