Establishing an Interpretation Module of Remote Sensing Image - Applying SPOT Images as an Example
碩士 === 國立臺灣大學 === 地理學研究所 === 86 === Most researches about interpreting landcover on Remote Sensing images usually focus one kind of landcover. These researches maybe have good effects for these special landcover, but it is difficult to apply to other ones because the character of each landcover is...
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| Format: | Others |
| Language: | zh-TW |
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1998
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| Online Access: | http://ndltd.ncl.edu.tw/handle/73541125490939797407 |
| Summary: | 碩士 === 國立臺灣大學 === 地理學研究所 === 86 === Most researches about interpreting landcover on Remote Sensing images usually focus one kind of landcover. These researches maybe have good effects for these special landcover, but it is difficult to apply to other ones because the character of each landcover is not the same. This study collects these interpretation models which are applied in the past and analyzes procedures and characters of these models then puts them in order in the knowledge base. In the future, users can select a fit interpretation model from thea knowledge base after analyzing its image characters. This study not only increases reused chances of these models but also helps users to do interpretation works.
This study constructs the interpreation module of Remote Sensing images by collecting interpreatation models which are applied in the past and transforming the interpretation knowledge of human to procedures. These are two important ideas of this study.
This study aims directly at five landcover types (water area、plant aea、built - up area、exposed area and road) to collect their interpretation models and check their accuracy then uses these results to construct interpretation module system of Remote Sensing images. This system can provide users interpretation models to do interpretation works and support a model structure environment for users to create a new model. This system also provide the query function of the interpretation keys for users to understand the image character of each landcover.
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