Super-resolution mapping using multiple observations and Hopfield neural network

Anuar Mikdad Muad, Giles M. Foody

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Super-resolution mapping is used to produces thematic maps at a scale finer than the source images. This paper presents a new super-resolution mapping approach that exploits the typically fine temporal resolution of coarse spatial resolution images as it input and an adoption of an active threshold surface using Hopfield neural network as a means to map land cover at a sub-pixel scale. The results demonstrated that the proposed technique is slightly more accurate than the existence technique in terms of site specific accuracy and produce better visualization on individual land cover map.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume7830
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventImage and Signal Processing for Remote Sensing XVI - Toulouse
Duration: 20 Sep 201022 Sep 2010

Other

OtherImage and Signal Processing for Remote Sensing XVI
CityToulouse
Period20/9/1022/9/10

Fingerprint

Hopfield neural networks
Hopfield Neural Network
Super-resolution
Land Cover
Optical resolving power
Image resolution
temporal resolution
Visualization
spatial resolution
Pixels
pixels
Sub-pixel
thresholds
Spatial Resolution
Observation

Keywords

  • active surface threshold
  • Hopfield neural network
  • Super-resolution mapping
  • temporal images fusion

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Muad, A. M., & Foody, G. M. (2010). Super-resolution mapping using multiple observations and Hopfield neural network. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 7830). [783003] https://doi.org/10.1117/12.865092

Super-resolution mapping using multiple observations and Hopfield neural network. / Muad, Anuar Mikdad; Foody, Giles M.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7830 2010. 783003.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Muad, AM & Foody, GM 2010, Super-resolution mapping using multiple observations and Hopfield neural network. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 7830, 783003, Image and Signal Processing for Remote Sensing XVI, Toulouse, 20/9/10. https://doi.org/10.1117/12.865092
Muad AM, Foody GM. Super-resolution mapping using multiple observations and Hopfield neural network. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7830. 2010. 783003 https://doi.org/10.1117/12.865092
Muad, Anuar Mikdad ; Foody, Giles M. / Super-resolution mapping using multiple observations and Hopfield neural network. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7830 2010.
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