测绘通报 ›› 2018, Vol. 0 ›› Issue (8): 47-50,67.doi: 10.13474/j.cnki.11-2246.2018.0243

• 学术研究 • 上一篇    下一篇

一种面向变化检测的建筑物指数

王慧贤1, 雷呈强2, 易畅3   

  1. 1. 中国科学院电子学研究所空间信息处理与应用系统技术重点实验室, 北京 100190;
    2. 北京跟踪与通信技术研究所, 北京 100094;
    3. 首都师范大学资源环境与旅游学院, 北京 100048
  • 收稿日期:2017-11-15 修回日期:2018-01-22 出版日期:2018-08-25 发布日期:2018-08-30
  • 作者简介:王慧贤(1985-),女,博士,助理研究员,主要研究方向为遥感图像处理与应用技术。E-mail:hxwang@mail.ie.ac.cn
  • 基金资助:
    国家自然科学基金(41601402;41701539)

A Building Index for Change Detection

WANG Huixian1, LEI Chengqiang2, YI Chang3   

  1. 1. Key Laboratory of Technology in Geo-spatial Information Processing and Application System(GIPAS), Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    2. Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China;
    3. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
  • Received:2017-11-15 Revised:2018-01-22 Online:2018-08-25 Published:2018-08-30

摘要: 针对在高分辨率遥感影像中传统建筑物检测算法检测出的建筑物不完整或丢失;建筑物与道路、比较亮的土壤的光谱特征非常相似,不易区分开等问题,提出了一种多尺度最大形态学重建轮廓的建筑物指数来有效地表征建筑物。本文利用两套ZY-3卫星数据以建筑物变化检测为应用背景,进行相关试验,验证了该方法的优越性。

关键词: 多尺度, 最大形态学重建轮廓, 建筑物指数, 变化检测

Abstract: This study proposes a multi-scale maximum morphological profiles building index for automatic building extraction from high-resolution remotely sensed imagery.The index can solve the following problems:the existing building detecting methods cannot well satisfy the characteristic of high resolution image; it is difficult to distinguish due to the similar characteristics between buildings,roads and bare soil,and so on.The index can well character the building.The index application in the building change detection was taken as an example and experiments were conducted on ZY-3 satellite images.This method achieved satisfactory results.

Key words: multi-scale, maximum morphological profiles, building index, change detection

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