基于高光谱数据和专家决策法提取红树林群落类型信息

肖海燕; 曾辉; 昝启杰; 白钰; 程好好

doi:10.11834/jrs.20070473

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专辑

基于高光谱数据和专家决策法提取红树林群落类型信息
Decision Tree Model in Extraction of Mangrove Community Information Using Hyperspectral Image Data
2007年第4期页码：531-537
纸质出版日期： 2007 ，
DOI： 10.11834/jrs.20070473

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[1]肖海燕,曾辉,昝启杰,白钰,程好好.基于高光谱数据和专家决策法提取红树林群落类型信息[J].遥感学报,2007(04):531-537.

XIAO Hai-yan1, ZENG Hui1, ZAN Qi-jie3, et al. Decision Tree Model in Extraction of Mangrove Community Information Using Hyperspectral Image Data[J]. Journal of Remote Sensing, 2007,(4):531-537.
[1]肖海燕,曾辉,昝启杰,白钰,程好好.基于高光谱数据和专家决策法提取红树林群落类型信息[J].遥感学报,2007(04):531-537. DOI： 10.11834/jrs.20070473.

XIAO Hai-yan1, ZENG Hui1, ZAN Qi-jie3, et al. Decision Tree Model in Extraction of Mangrove Community Information Using Hyperspectral Image Data[J]. Journal of Remote Sensing, 2007,(4):531-537. DOI： 10.11834/jrs.20070473.

摘要

高光谱遥感是进行地表植被观测的强有力工具

研究并验证有效的算法和数据支撑技术

对于合理利用高光谱数据进行地表植被监测与分析至关重要。在光谱特征分析和地面调查的基础上

基于决策树方法和高光谱分析方法的组合

以深圳市福田国家级自然保护区为例

利用高光谱数据进行红树林群落信息提取的实证研究。结果证实了Hymap数据对于红树林群落类型信息提取的数据支撑能力

以及相关方法用于红树林分类研究方面的有效性。

Abstract

Hyperspectral remote sensing can be effectively used to observe vegetation.It is important to study and verify valid algorithms and data for vegetation observation and analysis by making the best use of hyperspectral remote sensing imagery.Based on spectral analysis and field reconnaissance

this paper attempted to combine Decision Tree model and hyperspectral analysis as an effective method to extract data of mangrove communities in Futian Reserve

Shenzhen.It is proved that Hymap data can be a good source to derive data of mangrove community

and the derived data can effectively support the classification of mangrove.