Improved Topographic Correction for Satellite Imagery
Summary :
An improved algorithm is developed for correcting the topographic impact on satellite imagery. First, we analyze the topography induced distortion on satellite image. It is shown that the variation of aspect can cause the obvious different distortions in the remotely sensed image, and also effect the image illumination significantly. Because the illumination is the basis for topographic correction algorithms, we consider its variation in different sun-facing aspects in calculation a correction parameter and take it as a key element in the modified correction algorithm. Then, we apply the modified correction method on the actual Landsat Thematic Mapper satellite image. The topographic correction was done in different image data with different season and different solar angle. The corrected results show the effectiveness and accuracy using this approach.
- Publication
- IEICE TRANSACTIONS on Information Vol.E84-D No.12 pp.1820-1827
- Publication Date
- 2001/12/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Image Processing, Image Pattern Recognition
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Feng CHEN, Ken-ichiro MURAMOTO, Mamoro KUBO, "Improved Topographic Correction for Satellite Imagery" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 12, pp. 1820-1827, December 2001, doi: .
Abstract: An improved algorithm is developed for correcting the topographic impact on satellite imagery. First, we analyze the topography induced distortion on satellite image. It is shown that the variation of aspect can cause the obvious different distortions in the remotely sensed image, and also effect the image illumination significantly. Because the illumination is the basis for topographic correction algorithms, we consider its variation in different sun-facing aspects in calculation a correction parameter and take it as a key element in the modified correction algorithm. Then, we apply the modified correction method on the actual Landsat Thematic Mapper satellite image. The topographic correction was done in different image data with different season and different solar angle. The corrected results show the effectiveness and accuracy using this approach.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_12_1820/_p
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@ARTICLE{e84-d_12_1820,
author={Feng CHEN, Ken-ichiro MURAMOTO, Mamoro KUBO, },
journal={IEICE TRANSACTIONS on Information},
title={Improved Topographic Correction for Satellite Imagery},
year={2001},
volume={E84-D},
number={12},
pages={1820-1827},
abstract={An improved algorithm is developed for correcting the topographic impact on satellite imagery. First, we analyze the topography induced distortion on satellite image. It is shown that the variation of aspect can cause the obvious different distortions in the remotely sensed image, and also effect the image illumination significantly. Because the illumination is the basis for topographic correction algorithms, we consider its variation in different sun-facing aspects in calculation a correction parameter and take it as a key element in the modified correction algorithm. Then, we apply the modified correction method on the actual Landsat Thematic Mapper satellite image. The topographic correction was done in different image data with different season and different solar angle. The corrected results show the effectiveness and accuracy using this approach.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Improved Topographic Correction for Satellite Imagery
T2 - IEICE TRANSACTIONS on Information
SP - 1820
EP - 1827
AU - Feng CHEN
AU - Ken-ichiro MURAMOTO
AU - Mamoro KUBO
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2001
AB - An improved algorithm is developed for correcting the topographic impact on satellite imagery. First, we analyze the topography induced distortion on satellite image. It is shown that the variation of aspect can cause the obvious different distortions in the remotely sensed image, and also effect the image illumination significantly. Because the illumination is the basis for topographic correction algorithms, we consider its variation in different sun-facing aspects in calculation a correction parameter and take it as a key element in the modified correction algorithm. Then, we apply the modified correction method on the actual Landsat Thematic Mapper satellite image. The topographic correction was done in different image data with different season and different solar angle. The corrected results show the effectiveness and accuracy using this approach.
ER -
English
