Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7618| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ng, Sai-Cheong | en_US |
| dc.contributor.author | Prof. LEUNG Kwong Sak | en_US |
| dc.date.accessioned | 2023-03-28T03:26:04Z | - |
| dc.date.available | 2023-03-28T03:26:04Z | - |
| dc.date.issued | 2004 | - |
| dc.identifier.citation | International Geoscience and Remote Sensing Symposium (IGARSS), 2004, Vol. 5, pp. 3050 - 3053 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11861/7618 | - |
| dc.description.abstract | Enhanced Binary Tree Genetic Algorithm (BTGA+) has been successfully applied to land cover classification problems. However, the execution time of BTGA+ is quite long on large datasets. In this paper, a novel decision tree algorithm, called Binary Tree Genetic Algorithm with Quadtree (BTGA with Quadtree), is proposed by extending BTGA+. In the proposed algorithm, a generalized quadtree is constructed when a new node of a linear decision tree is created. The proposed algorithm runs faster than BTGA+ on datasets with sufficiently large number of samples, without sacrificing the quality of decision trees constructed by BTGA+. | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | International Geoscience and Remote Sensing Symposium (IGARSS) | en_US |
| dc.title | Binary tree genetic algorithm with quadtree for land cover classifications | en_US |
| dc.type | Conference Paper | en_US |
| item.fulltext | No Fulltext | - |
| crisitem.author.dept | Department of Applied Data Science | - |
| Appears in Collections: | Publication | |
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