Abstract
The striping noise removal method of an along-track scanned satellite image is considered in this paper. Nonuniformity of detectors caused by imperfect calibration and the drift of detector characteristics generates striping noise. The proposed nonlinear mapping consists of offset component correction (OCC) and nonlinear component correction (NCC). OCC is executed first under the assumption that the tendency of temporal (column) mean changes slowly across the detectors. Secondly, NCC, which is the least square approach for each of the same input intensity, is performed to reflect the nonlinear characteristics of the detector. The effectiveness of the proposed algorithm is demonstrated experimentally with real satellite images.1
| Original language | English |
|---|---|
| Title of host publication | Image Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings |
| Publisher | Springer Verlag |
| Pages | 722-729 |
| Number of pages | 8 |
| Volume | 4142 LNCS |
| ISBN (Print) | 3540448942, 9783540448945 |
| Publication status | Published - 2006 Jan 1 |
| Event | 3rd International Conference on Image Analysis and Recognition, ICIAR 2006 - Povoa de Varzim, Portugal Duration: 2006 Sep 18 → 2006 Sep 20 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4142 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 3rd International Conference on Image Analysis and Recognition, ICIAR 2006 |
|---|---|
| Country | Portugal |
| City | Povoa de Varzim |
| Period | 06/9/18 → 06/9/20 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Theoretical Computer Science
Cite this
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Striping noise removal of satellite images by nonlinear mapping. / Choi, Euncheol; Kang, Moon Gi.
Image Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings. Vol. 4142 LNCS Springer Verlag, 2006. p. 722-729 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4142 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Striping noise removal of satellite images by nonlinear mapping
AU - Choi, Euncheol
AU - Kang, Moon Gi
PY - 2006/1/1
Y1 - 2006/1/1
N2 - The striping noise removal method of an along-track scanned satellite image is considered in this paper. Nonuniformity of detectors caused by imperfect calibration and the drift of detector characteristics generates striping noise. The proposed nonlinear mapping consists of offset component correction (OCC) and nonlinear component correction (NCC). OCC is executed first under the assumption that the tendency of temporal (column) mean changes slowly across the detectors. Secondly, NCC, which is the least square approach for each of the same input intensity, is performed to reflect the nonlinear characteristics of the detector. The effectiveness of the proposed algorithm is demonstrated experimentally with real satellite images.1
AB - The striping noise removal method of an along-track scanned satellite image is considered in this paper. Nonuniformity of detectors caused by imperfect calibration and the drift of detector characteristics generates striping noise. The proposed nonlinear mapping consists of offset component correction (OCC) and nonlinear component correction (NCC). OCC is executed first under the assumption that the tendency of temporal (column) mean changes slowly across the detectors. Secondly, NCC, which is the least square approach for each of the same input intensity, is performed to reflect the nonlinear characteristics of the detector. The effectiveness of the proposed algorithm is demonstrated experimentally with real satellite images.1
UR - http://www.scopus.com/inward/record.url?scp=33749655945&partnerID=8YFLogxK
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M3 - Conference contribution
SN - 3540448942
SN - 9783540448945
VL - 4142 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 722
EP - 729
BT - Image Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings
PB - Springer Verlag
ER -