Automated selection of suitable atmospheric calibration sites for satellite imagery
Automated selection of suitable atmospheric calibration sites for satellite imagery
Ground calibration targets (GCTs) play a vital role in atmospheric correction of satellite sensor data in the optical region, but selecting suitable targets is a subjective and time-consuming task. This paper describes a method to automatically select suitable GCTs, using a combination of remotely sensed multispectral and topographic data. Desirable characteristics for GCTs sites were identified from the literature, and used to devise a semi-automated workflow based on programs written in IDL combined with routines offered by ITTVIS ENVI and Definiens eCognition. Spatial statistics were used to assess local patterns of spatial uniformity, and endmember abundances (extracted using the SMACC algorithm) were used in a novel method to ensure a spread of calibration sites throughout the brightness range for each band. The result of this process was a map of candidate GCTs, classified according to their suitability
Remote Sensing and Photogrammetry Society
Wilson, R.T.
356d52b6-8aa7-4a45-8e21-981bd3769134
Milton, E.J.
f6cb5c0d-a5d4-47d7-860f-096de08e0c24
1 September 2010
Wilson, R.T.
356d52b6-8aa7-4a45-8e21-981bd3769134
Milton, E.J.
f6cb5c0d-a5d4-47d7-860f-096de08e0c24
Wilson, R.T. and Milton, E.J.
(2010)
Automated selection of suitable atmospheric calibration sites for satellite imagery.
In From the Sea-Bed to the Cloud-Tops. Remote Sensing and Photogrammetry Society Annual Conference with Irish Earth Observation Symposium.
Remote Sensing and Photogrammetry Society.
8 pp
.
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Conference or Workshop Item
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Abstract
Ground calibration targets (GCTs) play a vital role in atmospheric correction of satellite sensor data in the optical region, but selecting suitable targets is a subjective and time-consuming task. This paper describes a method to automatically select suitable GCTs, using a combination of remotely sensed multispectral and topographic data. Desirable characteristics for GCTs sites were identified from the literature, and used to devise a semi-automated workflow based on programs written in IDL combined with routines offered by ITTVIS ENVI and Definiens eCognition. Spatial statistics were used to assess local patterns of spatial uniformity, and endmember abundances (extracted using the SMACC algorithm) were used in a novel method to ensure a spread of calibration sites throughout the brightness range for each band. The result of this process was a map of candidate GCTs, classified according to their suitability
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WilsonMilton_RSPSoc2010.pdf
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Published date: 1 September 2010
Venue - Dates:
Remote Sensing and Photogrammetry Society Annual Conference with Irish Earth Observation Symposium, Cork, Ireland, 2010-09-01 - 2010-09-03
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Local EPrints ID: 166115
URI: http://eprints.soton.ac.uk/id/eprint/166115
PURE UUID: 21bf11f2-29bc-4cd5-b2b4-ec971003c9ac
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Date deposited: 25 Oct 2010 08:47
Last modified: 14 Mar 2024 02:12
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Author:
R.T. Wilson
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