On the darkest pixel atmospheric correction algorithm: a revised procedure applied over satellite remotely sensed images intended for environmental applications
On the darkest pixel atmospheric correction algorithm: a revised procedure applied over satellite remotely sensed images intended for environmental applications
Atmospheric correction is an essential part of the pre-processing of satellite remote sensing data. Several atmospheric correction approaches can be found in the literature ranging from simple to sophisticated methods. The sophisticated methods require auxiliary data, however the simple methods are based only on the image itself and are served to be suitable for operational use. One of the most widely used and well-known simple atmospheric correction methods is the darkest pixel (DP). Despite of its simplicity, the user must be aware of several key points in order to avoid any erroneous results. Indeed, this paper addresses a new strategy for selecting the suitable dark object based on the proposed analysis of digital number histograms and image examination. Several case studies, in which satellite remotely sensed image data intended for environmental applications have been atmospherically corrected using the DP method, are presented in this article.
464-471
Society of Photo-Optical Instrumentation Engineers
Hadjimitsis, Diofantos G
8397d691-b35b-4d3f-a6d8-40678f233869
Retalis, Adrianos
7d17bddc-8f0d-44e9-ba25-983b8b3fb274
March 2004
Hadjimitsis, Diofantos G
8397d691-b35b-4d3f-a6d8-40678f233869
Retalis, Adrianos
7d17bddc-8f0d-44e9-ba25-983b8b3fb274
Hadjimitsis, Diofantos G and Retalis, Adrianos
(2004)
On the darkest pixel atmospheric correction algorithm: a revised procedure applied over satellite remotely sensed images intended for environmental applications.
Ehlers, Manfred, Kauffmann, Hermann J. and Michel, Ulrich
(eds.)
In Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III.
vol. 5239,
Society of Photo-Optical Instrumentation Engineers.
.
(doi:10.1117/12.511520).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Atmospheric correction is an essential part of the pre-processing of satellite remote sensing data. Several atmospheric correction approaches can be found in the literature ranging from simple to sophisticated methods. The sophisticated methods require auxiliary data, however the simple methods are based only on the image itself and are served to be suitable for operational use. One of the most widely used and well-known simple atmospheric correction methods is the darkest pixel (DP). Despite of its simplicity, the user must be aware of several key points in order to avoid any erroneous results. Indeed, this paper addresses a new strategy for selecting the suitable dark object based on the proposed analysis of digital number histograms and image examination. Several case studies, in which satellite remotely sensed image data intended for environmental applications have been atmospherically corrected using the DP method, are presented in this article.
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Published date: March 2004
Venue - Dates:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, Barcelona, Spain, 2003-09-09 - 2003-09-09
Identifiers
Local EPrints ID: 53556
URI: http://eprints.soton.ac.uk/id/eprint/53556
PURE UUID: aa853b02-7e34-4fa3-9d17-1c3e40cf97a9
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Date deposited: 11 Aug 2008
Last modified: 16 Mar 2024 03:12
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Contributors
Author:
Adrianos Retalis
Editor:
Manfred Ehlers
Editor:
Hermann J. Kauffmann
Editor:
Ulrich Michel
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