地球信息科学学报 ›› 2016, Vol. 18 ›› Issue (1): 124-132.doi: 10.3724/SP.J.1047.2016.00124
收稿日期:
2015-01-16
修回日期:
2015-03-06
出版日期:
2016-01-10
发布日期:
2016-01-10
通讯作者:
黄晓霞
E-mail:duxin-1321@163.com;hxx@irsa.ac.cn
作者简介:
作者简介:杜欣(1989-),女,硕士生,研究方向为生态遥感应用。E-mail:
基金资助:
DU Xin1(), HUANG Xiaoxia1,*(
), LI Hongga1, SHEN Liqiang2
Received:
2015-01-16
Revised:
2015-03-06
Online:
2016-01-10
Published:
2016-01-10
Contact:
HUANG Xiaoxia
E-mail:duxin-1321@163.com;hxx@irsa.ac.cn
摘要:
传统的植物群落调查方法主要是野外样地调查和抽样统计,其对于地形复杂的区域难以做到对数据的全面调查;将遥感技术应用于植物群落调查,可实现数据的全面获取,以及对植物群落的快速分类。在深圳市植物群落野外样地调查的基础上,本文应用高分辨率Pléiades影像,结合光谱、地形及纹理信息,采用投影寻踪学习网络的方法,实现了深圳市东部地区植物分类。在实验中,选取人工林和次生林中典型群落样本,将投影寻踪与学习网络算法结合应用于植被分类,通过分类结果与经典监督分类方法比较表明,该算法应用于植物群落分类是可行的;并且该算法分类精度高,更新速度快,能满足深圳市重点项目基本生态控制线专项调查的要求。
杜欣, 黄晓霞, 李红旮, 沈利强. 基于投影寻踪学习网络算法的植物群落高分遥感分类研究[J]. 地球信息科学学报, 2016, 18(1): 124-132.DOI:10.3724/SP.J.1047.2016.00124
DU Xin,HUANG Xiaoxia,LI Hongga,SHEN Liqiang. Research on Classification of Plant Community Using Projection Pursuit Learning Network Algorithm on High Resolution Remote Sensing Images[J]. Journal of Geo-information Science, 2016, 18(1): 124-132.DOI:10.3724/SP.J.1047.2016.00124
表2
样方物种信息示例表"
序号 | 群落名称 | 生态系统类型 | 种名 | 多度 | 频度 | 相对多度(%) | 相对频度(%) | 显著度(%) | 重要值 |
---|---|---|---|---|---|---|---|---|---|
64 | 台湾相思 | 人工林 | 台湾相思 | 481 | 9 | 83.8 | 25 | 91.6 | 200.4 |
野牡丹 | 55 | 7 | 9.58 | 19.44 | 3.9 | 32.92 | |||
鸭脚木 | 7 | 5 | 1.22 | 13.89 | 2.32 | 17.42 | |||
桃金娘 | 6 | 4 | 1.05 | 11.11 | 0.21 | 12.37 | |||
银柴 | 12 | 3 | 2.09 | 8.33 | 1.19 | 11.62 | |||
梅叶冬青 | 3 | 3 | 0.52 | 8.33 | 0.2 | 9.05 | |||
栀子 | 4 | 2 | 0.7 | 5.56 | 0.11 | 6.36 | |||
变叶榕 | 3 | 2 | 0.52 | 5.56 | 0.14 | 6.22 |
表3
输入变量列表"
维度序号 | 输入变量 | 表达信息 | 维度序号 | 输入变量 | 表达信息 |
---|---|---|---|---|---|
1 | B1 | 蓝波段 | 10 | R6 | B3/B4 |
2 | B2 | 绿波段 | 11 | NDVI | 植被指数 |
3 | B3 | 红波段 | 12 | Elevation | 高程 |
4 | B4 | 近红外波段 | 13 | Slope | 坡度 |
5 | R1 | B1/B2 | 14 | Mean(B3) | 红波段均值 |
6 | R2 | B1/B3 | 15 | Correlation(B3) | 红波段相关性 |
7 | R3 | B1/B4 | 16 | Mean(B4) | 近红外波段均值 |
8 | R4 | B2/B3 | 17 | Correlation(B4) | 近红外波段相关性 |
9 | R5 | B2/B4 | 18 | Entropy(B4) | 近红外波段熵 |
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