| 证据推理遥感分类背景下遥感影像证据支持度生成方法的对比 |
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| 引用本文： | 张光裕,李华朋. 证据推理遥感分类背景下遥感影像证据支持度生成方法的对比[J]. 东北林业大学学报, 2011, 39(6): 80-82,113 |
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| 作者姓名： | 张光裕 李华朋 |
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| 作者单位： | 东北林业大学;中国科学院东北地理与农业生态研究所; |
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| 摘 要： | 选择黑龙江省洪河自然保护区的ETM+遥感影像,对比分析了基于最小距离法(MD)和频率分布法(FD)两种不同证据支持度生成方法的证据推理遥感分类精度.结果表明,在使用前3个或更少的波段情况下,MD方法证据支持度质量比MD方法好,而在前4个或更多的波段情况下,MD方法生成的证据支持质量更高.证据支持度的合理与否直接影响证据...
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| 关 键 词： | 遥感分类 证据推理 证据支持度 最小距离法 频率分布法 |
Comparison Between Evidence Measures Generated from Satellite Images Under the Background of Supervised Evidential Classification |
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| Zhang Guangyu,Li Huapeng. Comparison Between Evidence Measures Generated from Satellite Images Under the Background of Supervised Evidential Classification[J]. Journal of Northeast Forestry University, 2011, 39(6): 80-82,113 |
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| Authors: | Zhang Guangyu Li Huapeng |
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| Affiliation: | Zhang Guangyu(School of Forestry,Northeast Forestry University,Harbin 150040,P.R.China),Li Huapeng(Northeast Institute of Geography and Agroecology,Chinese Academy of Forestry) |
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| Abstract: | A scene of ETM+ imagery covered Honghe National Nature Reserve was chosen to compare the ability of two algorithms,the minimum distance(MD) algorithm and the frequency distribution(FD) algorithm,in generation EM for supervised evidential classification.Results show that the FD algorithm is superior to the MD algorithm when using the first three or fewer bands of ETM+ imagery,while the MD algorithm is better when using the first four or more bands for classification.It indicates that the EM generation algori... |
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| Keywords: | Land cover classification Evidential reasoning Evidence measures Minimum distance algorithm Frequency distribution method |
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