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A metaheuristic framework based automated Spatial-Spectral graph for land cover classification from multispectral and hyperspectral satellite images

  • Published:2020-03 Issue: Volume:105 Page:103172
  • ISSN:1350-4495
  • Container-title:Infrared Physics & Technology
  • language:en
  • Short-container-title:Infrared Physics & Technology

Author:

Suresh Shilpa,Lal Shyam

Funder

Ministry of Electronics & Information Technology

National Institute of Technology Karnataka

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference53 articles.

1. SVM-and MRF-based method for accurate classification of hyperspectral images;Tarabalka;IEEE Geosci. Remote Sens. Lett.,2010

2. Automatic land cover analysis for tenerife by supervised classification using remotely sensed data;Keuchel;Remote Sens. Environ.,2003

3. Land cover mapping of large areas using chain classification of neighboring landsat satellite images;Knorn;Remote Sens. Environ.,2009

4. Land-use classification of remotely sensed data using kohonen self-organizing feature map neural networks;Ji;Photogramm. Eng. Remote Sens.,2000

5. Toward satellite-based land cover classification through optimum-path forest;Pisani;IEEE Trans. Geosci. Remote Sens.,2014

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