Data · collection · 2015
A jitter compensation method for spaceborne line-array imagery using compressive sampling
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Attitude jitter is a problem commonly experienced by remote-sensing satellites, and deteriorates the accuracy of geo-positioning and mapping.
Description
Therefore, it is important to design a method which can handle this problem. This paper presents a compensation method using compressive sampling.
In this method, the influence of attitude jitter in imagery is represented by two fluctuating signals, which are called distortion signals in this paper. Using compressive sampling, the distortion signals in the remote-sensing imagery can be estimated with a small set of ground control points (GCPs). Based on the estimated distortion signals, we can conduct compensation on the remote-sensing imagery affected by attitude jitter.
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The significant advantage of this method is that it requires only rational function model (RFM) and few GCPs, which makes it easier to be applied than other similar methods. Experiment with image from satellite ALOS (Advanced Land Observing Satellite) and ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiaometer) showed the feasibility of the proposed method and the effect of the distribution of GCPs.
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Where it is published
- Repository landing page tandf.figshare.com/collections/A_jitter_compensation_method_for_spaceborne_line_a… ↗
landing page · from DataCite
- Repository landing page tandf.figshare.com/collections/A_jitter_compensation_method_for_spaceborne_line_a… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.2082518.v1 ↗
DOI / persistent id · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.2082518 ↗
DOI / persistent id · from DataCite
Documentation and papers
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- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.2082518 ↗
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- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.2082518.v1 ↗
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Topics
- Stated by source
- Biological sciences · Biological sciences · Chemical sciences · Chemical sciences · Mathematics · Mathematics
- From keywords
- Life Sciences · Life Sciences · Mathematics & Statistics · Mathematics & Statistics
- Inferred from text
- Image 75%
Provenance · 2 source records, 18 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.c.2082518 | 13 d ago | JSON v1 |
| DataCite | 10.6084/m9.figshare.c.2082518.v1 | 13 d ago | JSON v1 |
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|---|---|---|---|
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| concepts[field].fos:biological-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:chemical-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:chemical-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:mathematics | source · DataCite | connector:datacite@1.0.0 | |
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| concepts[field].local:field:life-sciences | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Biological Sciences'] |
| concepts[field].local:field:life-sciences | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Biological Sciences'] |
| concepts[field].local:field:mathematics-statistics | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Mathematics'] |
| concepts[field].local:field:mathematics-statistics | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Mathematics'] |
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