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国土资源遥感  2016, Vol. 28 Issue (1): 172-177    DOI: 10.6046/gtzyyg.2016.01.25
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
基于高分辨率遥感影像的围填海图斑遥感监测分类体系和解译标志的建立
温礼1, 吴海平1, 姜方方2, 苏伟2, 朱德海2, 张超2
1. 中国土地勘测规划院, 北京 100035;
2. 中国农业大学信息与电气工程学院, 北京 100083
Establishment of remote sensing monitoring classification system and interpretation criteria for the reclamation area based on the high-resolution remote sensing image
WEN Li1, WU Haiping1, JIANG Fangfang2, SU Wei2, ZHU Dehai2, ZHANG Chao2
1. China Land Surveying and Planning Institute, Ministry of Land Resources, Beijing 100035, China;
2. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
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摘要 

围填海是一把双刃剑,一方面可以缓解土地资源紧缺的问题,另一方面也会给沿海生态环境带来负面影响。如何合理地监测和管理围填海,以便政府掌控和决策分析,首先迫切需要制定围填海的分类体系。围填海是一个海域向陆地转变的中间态过程,将海域使用分类体系和土地利用现状分类体系相衔接,基于年度提取的多源高分辨率遥感影像围填海图斑的可解译程度、围填海的定义、用途属性和形成机理等因素,制定了应用于围填海年度遥感监测的分类体系。此外,根据该分类体系,建立了基于多源高分辨率遥感影像的围填海遥感监测解译标志。

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关键词 无人机(UAV)植被识别颜色指数RGB色域    
Abstract

Reclamation is a double-edged sword:on the one hand, it can ease the shortage land resources, but on the other hand, it also brings serious negative effect to the coastal ecological environment. The first step is to make the classification system of reclamation in order that the government can monitor and manage reclamation reasonably for controlling and making decision. Reclamation is an intermediate process from sea to land, and this paper tries to connect sea use classification system and status of land use classification so as to make the classification system used in reclamation annual monitoring by remote sensing based on the level of multi-source high-resolution remote sensing image which can be interpreted, the definition of reclamation, the use properties and formation mechanism of reclamation and other factors. In addition, corresponding to the reclamation classification system of remote sensing monitoring, this paper has established remote sensing monitoring interpretation criteria of reclamation based on multi-source high-resolution remote sensing image.

Key wordsunmanned aerial vehicle(UAV)    vegetation extraction    color index    RGB color space
收稿日期: 2014-05-09      出版日期: 2015-11-27
ZTFLH:  TP79  
基金资助:

北京高等学校青年英才计划项目"基于地基激光雷达的大田玉米长势监测方法研究"(编号:YETP0316)和中国土地勘测规划院业务项目"2014年遥感监测专题(监测)分析"(编号:201405510810608)共同资助。

通讯作者: 姜方方(1989-),女,研究生,主要从事遥感应用方面的研究。Email:jff0703@163.com。     E-mail: jff0703@163.com
作者简介: 温礼(1977-),男,高级工程师,主要从事遥感技术在土地方面的应用研究。Email:wli1978@163.com。
引用本文:   
温礼, 吴海平, 姜方方, 苏伟, 朱德海, 张超. 基于高分辨率遥感影像的围填海图斑遥感监测分类体系和解译标志的建立[J]. 国土资源遥感, 2016, 28(1): 172-177.
WEN Li, WU Haiping, JIANG Fangfang, SU Wei, ZHU Dehai, ZHANG Chao. Establishment of remote sensing monitoring classification system and interpretation criteria for the reclamation area based on the high-resolution remote sensing image. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 172-177.
链接本文:  
http://www.gtzyyg.com/CN/10.6046/gtzyyg.2016.01.25      或      http://www.gtzyyg.com/CN/Y2016/V28/I1/172

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