書誌事項
- タイトル別名
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- Super-Resolution Reconstruction from the Incompletely Observed Remote Sensing Images
- フカンゼン ナ リモートセンシング カンソク ガゾウ カラ ノ チョウカイゾウ サイコウセイ
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説明
In satellite remote sensing, higher spatial resolution than the particular resolution of a sensor may be achieved by observing a same area repeatedly at an interval decided by the recurrent interval days. The methods have been researched to improve the spatial resolution by fusion of multiple low-resolution images and by the multiple observations of subpixel-shifted low-resolution images. These methods are known as the super-resolution (SR) reconstruction. Various methods of the SR reconstruction have been suggested till now. When resolution is raised N times by the SR reconstruction, peculiar subpixel-shifted images of about N×N numbers or even more are required. Uncontrollable misregistration by slight orbital translation may often be present in the observed images. And, it can be actually obtained limited pieces of observed images under a same weather condition in a same season. In this paper, a new SR reconstruction method is proposed by using a number of incomplete low-resolution images with random positional shifts. This proposed method enables sufficient SR performance by giving the preliminally process such as re-arrangement of elements of low-resolution images on the continuous space and supplementation with insufficient low-resolution images by the 2-dimensional interpolation. The simulation using sample images and the experiment using actual images taken in the laboratory shows effectiveness.
収録刊行物
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- 日本リモートセンシング学会誌
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日本リモートセンシング学会誌 29 (3), 485-496, 2009
一般社団法人 日本リモートセンシング学会
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詳細情報 詳細情報について
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- CRID
- 1390001204666783232
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- NII論文ID
- 10025320727
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- NII書誌ID
- AN10035665
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- ISSN
- 18831184
- 02897911
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- NDL書誌ID
- 10386702
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可