Exterior Product Compensation of the Emissivity in the Thermal Infrared Region by Using Visible Information and Its Applications to the Remote Sensing
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- INAMURA Minoru
- Faculty of Engineering, University of Tokyo
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- TOYOTA Hiromichi
- Faculty of Engineering, University of Tokyo
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- FUJIMURA Sadao
- Faculty of Engineering, University of Tokyo
Bibliographic Information
- Other Title
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- 可視情報を利用する熱赤外放射率の外積演算補正とそのリモートセンシングへの応用
- カシ ジョウホウ オ リヨウスル ネツ セキガイ ホウシャリツ ノ ガイセキ
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Description
The objects with different thermal infrared emissivities are taken simultaneously into a pixel of a remotely sensed multispectral image, and the proportion of an object changes with every pixel according to the altitude of the observation aircraft and the conditions of the region. Therefore, for a thermal infrared image, one cannot distinguish between the true change of the surface temperature and the apparent change of it caused by the change of the proportion of an object in the pixel. The exterior product image processing by using the image information of the visible channels adjusts the emissivity change caused by the change of the proportion, i. e., it removes the apparent temperature change on the thermal image.<br>Consequently, the temperature change on the processed image gives the true temperature difference pattern which is independent of the proportions of the various objects on the earth's surface. The emissivity compensation method based on the exterior product processing has the following features.<br>1) In this method it is not necessary to know the object's proportion in a pixel. It is an important practical advantage in application.<br>2) Visible images are used very effectively, namely, the mixed arithmetic processing of the thermal infrared image and the visible images is given in the compensated image.
Journal
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- Transactions of the Society of Instrument and Control Engineers
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Transactions of the Society of Instrument and Control Engineers 15 (7), 934-940, 1979
The Society of Instrument and Control Engineers
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Details 詳細情報について
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- CRID
- 1390001204502337536
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- NII Article ID
- 130003968712
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- NII Book ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL BIB ID
- 2070788
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed