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Applying Case Based Reasoning in the Evolution of Deforestation Patterns in Rhakhine Yoma

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dc.contributor.author Aung, Su Wit Yi
dc.contributor.author Min, Mar Mar
dc.date.accessioned 2019-07-25T06:47:21Z
dc.date.available 2019-07-25T06:47:21Z
dc.date.issued 2011-12-29
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1303
dc.description.abstract There have been major land-changes in the planet in the last decades, especially in tropical forest areas. Identifying the deforestation patterns is important for establishing public policies that can help preserve the environment. The system proposes to apply the Case-Based Reasoning (CBR) techniques to establish rules and detect object deforestation evolution in RhaKhine Yoma. The objects were analyzed in a sequence of images from different periods creating the base and rules to apply CBR. The system uses a decision-tree classifier to describe deforestation patterns found in land-use maps extracted from image database. The application of CBR can help the specialist to understand how different landscape objects evolve, to establish objects trajectories and to represent that evolution. en_US
dc.language.iso en en_US
dc.publisher Sixth Local Conference on Parallel and Soft Computing en_US
dc.title Applying Case Based Reasoning in the Evolution of Deforestation Patterns in Rhakhine Yoma en_US
dc.type Article en_US


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