TY - GEN
T1 - Analysis of Spectral Simulation Using Different Spectral Libraries
AU - Teo, Tee Ann
AU - Fu, Yu Ju
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - spectral library
KW - spectral simulation
KW - spectral transform
KW - support vector regression
UR - http://www.scopus.com/inward/record.url?scp=85140411773&partnerID=8YFLogxK
U2 - 10.1109/IGARSS46834.2022.9883038
DO - 10.1109/IGARSS46834.2022.9883038
M3 - Conference contribution
AN - SCOPUS:85140411773
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 334
EP - 337
BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Y2 - 17 July 2022 through 22 July 2022
ER -