Analysis of Spectral Simulation Using Different Spectral Libraries

Tee Ann Teo, Yu Ju Fu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Spectral simulation technology is used to simulate new spectral bands from available observed bands. In this study, we aim to evaluate the performance of a spectral simulation using traditional four-band (i.e., blue, green, red and near-infrared) multispectral satellite images to new spectral bands such as the coastal and short-wave infrared (SWIR) bands. In the proposed scheme, nonlinear support vector regression (SVR) is performed to simulate different reflectances from the spectral libraries, and the accuracy of spectral simulation is discussed. Two different spectral libraries (i.e., ECOSTRESS and USGS splib07a) are used to establish the SVR model. The experimental results indicate that the spectral library can be used to simulate the reflectances of satellite images, and the performance of ECOSTRESS is marginally superior to that of USGS in the spectral simulation between Formosat-2 (FS-2) multispectral images and Landsat-8 (LS-8) coastal and SWIR band images.

Original languageEnglish
Title of host publicationIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages334-337
Number of pages4
ISBN (Electronic)9781665427920
DOIs
StatePublished - 2022
Event2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia
Duration: 17 Jul 202222 Jul 2022

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2022-July

Conference

Conference2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Country/TerritoryMalaysia
CityKuala Lumpur
Period17/07/2222/07/22

Keywords

  • spectral library
  • spectral simulation
  • spectral transform
  • support vector regression

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