Shape characterization of land covers using super-resolution mapping

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

Abstract

This paper presents a representation of land cover from a popular low spatial resolution of remote sensing image, MODIS 250 m. The spatial resolution of the MODIS image is enhanced using super-resolution mapping to a resolution that is equal to resolution of Landsat ETM+, which is 30 m. Two super-resolution mapping techniques, Hopfleld neural network and pixel swapping are used to represent the land covers as patch objects. Parameters for both techniques are varies to investigate their impact towards the characterization of the object in a single MODIS image and also in a time-series MODIS images.

Original languageEnglish
Title of host publication2017 IEEE 8th Control and System Graduate Research Colloquium, ICSGRC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages57-61
Number of pages5
ISBN (Electronic)9781538603802
DOIs
Publication statusPublished - 17 Oct 2017
Event8th IEEE Control and System Graduate Research Colloquium, ICSGRC 2017 - Shah Alam, Malaysia
Duration: 4 Aug 20175 Aug 2017

Other

Other8th IEEE Control and System Graduate Research Colloquium, ICSGRC 2017
CountryMalaysia
CityShah Alam
Period4/8/175/8/17

Fingerprint

MODIS
Land Cover
Super-resolution
MODIS (radiometry)
Spatial Resolution
Time series
Remote sensing
spatial resolution
Pixels
Neural networks
Landsat
Remote Sensing Image
Patch
remote sensing
Pixel
pixels
Vary
Neural Networks
Object

Keywords

  • Hopfield neural network
  • Landsat
  • MODIS
  • Object based remote sensing
  • Pixel swapping
  • Remote sensing

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation

Cite this

Muad, A. M. (2017). Shape characterization of land covers using super-resolution mapping. In 2017 IEEE 8th Control and System Graduate Research Colloquium, ICSGRC 2017 - Proceedings (pp. 57-61). [8070568] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSGRC.2017.8070568

Shape characterization of land covers using super-resolution mapping. / Muad, Anuar Mikdad.

2017 IEEE 8th Control and System Graduate Research Colloquium, ICSGRC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 57-61 8070568.

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

Muad, AM 2017, Shape characterization of land covers using super-resolution mapping. in 2017 IEEE 8th Control and System Graduate Research Colloquium, ICSGRC 2017 - Proceedings., 8070568, Institute of Electrical and Electronics Engineers Inc., pp. 57-61, 8th IEEE Control and System Graduate Research Colloquium, ICSGRC 2017, Shah Alam, Malaysia, 4/8/17. https://doi.org/10.1109/ICSGRC.2017.8070568
Muad AM. Shape characterization of land covers using super-resolution mapping. In 2017 IEEE 8th Control and System Graduate Research Colloquium, ICSGRC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 57-61. 8070568 https://doi.org/10.1109/ICSGRC.2017.8070568
Muad, Anuar Mikdad. / Shape characterization of land covers using super-resolution mapping. 2017 IEEE 8th Control and System Graduate Research Colloquium, ICSGRC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 57-61
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