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Content Provider | ACM Digital Library |
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Author | Mota, Joice Seleme Câmara, Gilberto Bittencourt, Olga Oliveira Fonseca, Leila M. G. Escada, Maria Isabel Sobral |
Abstract | Patterns of deforestation in Brazilian Amazonia are often associated with different actors, their economic activities and their land use and land cover change strategies. These patterns are often analyzed as static landscape objects, they are not treated as objects evolving along the time. This paper proposes to apply the Case-Based Reasoning (CBR) technique to establish rules and detect object deforestation evolution in an Amazonia region. The objects were analyzed in a sequence of images from different periods creating the base and rules to apply CBR. The application of CBR can help the specialist to understand how different landscape objects evolve, to establish object trajectories and to represent that evolution. |
Starting Page | 1683 |
Ending Page | 1687 |
Page Count | 5 |
File Format | |
ISBN | 9781595937537 |
DOI | 10.1145/1363686.1364086 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2008-03-16 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Deforestation patterns Case-based reasoning Evolving objects |
Content Type | Text |
Resource Type | Article |
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