Analysis of Spectral Simulation Using Different Spectral Libraries

Tee Ann Teo, Yu Ju Fu

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
發行者Institute of Electrical and Electronics Engineers Inc.
頁面334-337
頁數4
ISBN(電子)9781665427920
DOIs
出版狀態Published - 2022
事件2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia
持續時間: 17 7月 202222 7月 2022

出版系列

名字International Geoscience and Remote Sensing Symposium (IGARSS)
2022-July

Conference

Conference2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
國家/地區Malaysia
城市Kuala Lumpur
期間17/07/2222/07/22

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