Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery

Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery

Multispectral visible/near-infrared (VNIR) earth observation satellites, e.g., Ikonos, Quickbird, ALOS AVNIR-2, and DMC, usually acquire imagery in a few (3 – 5) spectral bands. Atmospheric correction is a challenging task for these images because the standard methods require at least one short...

Full description

Bibliographic Details
Main Author: Rudolf Richter
Format: Article
Language:English
Published: MDPI AG 2008-11-01
Series:Sensors
Subjects:
Aerosol retrieval
surface reflectance
haze
cloud
water
Online Access:http://www.mdpi.com/1424-8220/8/11/6999/
id doaj-b872844afbcf4f93a56429ccaed47749
record_format Article
spelling doaj-b872844afbcf4f93a56429ccaed477492020-11-25T00:22:34ZengMDPI AGSensors1424-82202008-11-018116999701110.3390/s8116999Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR ImageryRudolf RichterMultispectral visible/near-infrared (VNIR) earth observation satellites, e.g., Ikonos, Quickbird, ALOS AVNIR-2, and DMC, usually acquire imagery in a few (3 – 5) spectral bands. Atmospheric correction is a challenging task for these images because the standard methods require at least one shortwave infrared band (around 1.6 or 2.2 µm) or hyperspectral instruments to derive the aerosol optical thickness. New classification metrics for defining cloud, cloud over water, haze, water, and saturation are presented to achieve improvements for an automatic processing system. The background is an ESA contract for the development of a prototype atmospheric processor for the optical payload AVNIR-2 on the ALOS platform.http://www.mdpi.com/1424-8220/8/11/6999/Aerosol retrievalsurface reflectancehazecloudwater
collection DOAJ
language English
format Article
sources DOAJ
author Rudolf Richter
spellingShingle Rudolf Richter
Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery
Sensors
Aerosol retrieval
surface reflectance
haze
cloud
water
author_facet Rudolf Richter
author_sort Rudolf Richter
title Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery
title_short Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery
title_full Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery
title_fullStr Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery
title_full_unstemmed Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery
title_sort classification metrics for improved atmospheric correction of multispectral vnir imagery
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2008-11-01
description Multispectral visible/near-infrared (VNIR) earth observation satellites, e.g., Ikonos, Quickbird, ALOS AVNIR-2, and DMC, usually acquire imagery in a few (3 – 5) spectral bands. Atmospheric correction is a challenging task for these images because the standard methods require at least one shortwave infrared band (around 1.6 or 2.2 µm) or hyperspectral instruments to derive the aerosol optical thickness. New classification metrics for defining cloud, cloud over water, haze, water, and saturation are presented to achieve improvements for an automatic processing system. The background is an ESA contract for the development of a prototype atmospheric processor for the optical payload AVNIR-2 on the ALOS platform.
topic Aerosol retrieval
surface reflectance
haze
cloud
water
url http://www.mdpi.com/1424-8220/8/11/6999/
work_keys_str_mv AT rudolfrichter classificationmetricsforimprovedatmosphericcorrectionofmultispectralvnirimagery
_version_ 1725359239152533504

Similar Items