The University of Southampton
University of Southampton Institutional Repository

The use of selected pseudo-invariant targets for the application of atmospheric correction in multi-temporal studies using satellite remotely sensed imagery

The use of selected pseudo-invariant targets for the application of atmospheric correction in multi-temporal studies using satellite remotely sensed imagery
The use of selected pseudo-invariant targets for the application of atmospheric correction in multi-temporal studies using satellite remotely sensed imagery
Because atmospheric effects can have a significant impact on the data obtained from multi-spectral satellite remote sensing, it is frequently necessary to make corrections before any other image processing can be started.
This paper describes a robust and relatively simple atmospheric correction method that uses pseudo-invariant targets (PITs) in conjunction with the empirical line method. The method is based on the selection of a number of suitable generic PITs, on the basis that they are large, distinctive in shape, and occur in many geographical areas.
Whereas the multi-temporal normalization method corrects all images to a selected reference image, in this method images are simultaneously corrected using targets with a range of estimated surface reflectance values.
The paper describes some applications of the method for a range of environmental studies involving water quality and air pollution monitoring, and mapping land-cover changes
atmospheric correction, pseudo-invariant targets, empirical line method, dark target, light target, reflectance, remote sensing
0303-2434
192-200
Hadjimitsis, D. G.
ea8e564d-3aa9-4476-bd3c-622fb93c3dd0
Clayton, C. R. I.
8397d691-b35b-4d3f-a6d8-40678f233869
Retalis, A.
270d7f30-a00a-4b8f-b97c-5a9a53716ced
Hadjimitsis, D. G.
ea8e564d-3aa9-4476-bd3c-622fb93c3dd0
Clayton, C. R. I.
8397d691-b35b-4d3f-a6d8-40678f233869
Retalis, A.
270d7f30-a00a-4b8f-b97c-5a9a53716ced

Hadjimitsis, D. G., Clayton, C. R. I. and Retalis, A. (2009) The use of selected pseudo-invariant targets for the application of atmospheric correction in multi-temporal studies using satellite remotely sensed imagery. International Journal of Applied Earth Observation and Geoinformation, 11 (3), 192-200. (doi:10.1016/j.jag.2009.01.005).

Record type: Article

Abstract

Because atmospheric effects can have a significant impact on the data obtained from multi-spectral satellite remote sensing, it is frequently necessary to make corrections before any other image processing can be started.
This paper describes a robust and relatively simple atmospheric correction method that uses pseudo-invariant targets (PITs) in conjunction with the empirical line method. The method is based on the selection of a number of suitable generic PITs, on the basis that they are large, distinctive in shape, and occur in many geographical areas.
Whereas the multi-temporal normalization method corrects all images to a selected reference image, in this method images are simultaneously corrected using targets with a range of estimated surface reflectance values.
The paper describes some applications of the method for a range of environmental studies involving water quality and air pollution monitoring, and mapping land-cover changes

This record has no associated files available for download.

More information

Published date: June 2009
Keywords: atmospheric correction, pseudo-invariant targets, empirical line method, dark target, light target, reflectance, remote sensing

Identifiers

Local EPrints ID: 73952
URI: http://eprints.soton.ac.uk/id/eprint/73952
ISSN: 0303-2434
PURE UUID: f6b3ad3e-d5bc-44b1-86f7-c18fda42bf7b
ORCID for C. R. I. Clayton: ORCID iD orcid.org/0000-0003-0071-8437

Catalogue record

Date deposited: 11 Mar 2010
Last modified: 14 Mar 2024 02:43

Export record

Altmetrics

Contributors

Author: D. G. Hadjimitsis
Author: A. Retalis

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×