地球信息科学学报 ›› 2018, Vol. 20 ›› Issue (12): 1745-1755.doi: 10.12082/dqxxkx.2018.180152
梁立1,2(), 刘庆生1,*(
), 刘高焕1, 李鑫杨1,2, 黄翀1
收稿日期:
2018-03-26
出版日期:
2018-12-25
发布日期:
2018-12-20
通讯作者:
刘庆生
E-mail:liangl.16s@igsnrr.ac.cn;liuqs@lreis.ac.cn
作者简介:
作者简介:梁 立(1994-),男,河南漯河人,硕士生,研究方向为遥感和地理信息系统应用。E-mail:
基金资助:
LIANG Li1,2(), LIU Qingsheng1,*(
), LIU Gaohuan1, LI Xinyang1,2, HUANG Chong1
Received:
2018-03-26
Online:
2018-12-25
Published:
2018-12-20
Contact:
LIU Qingsheng
E-mail:liangl.16s@igsnrr.ac.cn;liuqs@lreis.ac.cn
Supported by:
摘要:
近年来,全球气候变暖等原因导致海平面不断升高,人类对海岸带的开发也越来越频繁,海岸带的变化比以前更为活跃,因此精确快速地提取出海岸线并实时监测其变化对我国海岸带的开发规划与利用具有重要的意义。本文详细梳理了国内外利用光学遥感、微波遥感和雷达遥感手段提取瞬时水边线或理论海岸线的方法,对各种经典方法和一些近年来出现的新方法进行了分析和比较,并指出各种方法的适用情况和不足。最后,针对目前中国在此方面的研究现状给出了一些建议。
梁立, 刘庆生, 刘高焕, 李鑫杨, 黄翀. 基于遥感影像的海岸线提取方法综述[J]. 地球信息科学学报, 2018, 20(12): 1745-1755.DOI:10.12082/dqxxkx.2018.180152
LIANG Li,LIU Qingsheng,LIU Gaohuan,LI Xinyang,HUANG Chong. Review of Coastline Extraction Methods Based on Remote Sensing Images[J]. Journal of Geo-information Science, 2018, 20(12): 1745-1755.DOI:10.12082/dqxxkx.2018.180152
表1
各种方法综合比较"
方法 | 适用范围 | 抗噪能力 | 复杂度 | 精度 |
---|---|---|---|---|
目视解译法 | 研究区较小,且精度要求较高时 | 十分强 | 非常高 | 非常高 |
阈值分割法 | 大范围,精度要求不高,海陆差异明显时 | 较强 | 低 | 较低 |
边缘检测法 | 研究区较大,且岸线情况不复杂时,对基岩质和人造海岸效果不错 | 易受图像上噪声影响,检测的岸线容易中断,通常需要后续处理 | 较低 | 一般 |
面向对象法 | 适用于研究区内海岸类型复杂,且精度要求较高时 | 较强 | 较高 | 较高 |
活动轮廓法 | 仅能检测简单的图像,处理范围小 | 较强 | 很高,需人工给定处理轮廓 | 较高 |
区域生长法 | 适用范围广,能获得连续岸线 | 较弱 | 较低 | 一般 |
元胞自动机 | 检测淤泥质海岸时有明显优势,不适合大范围的应用 | 一般 | 复杂度较高,需多次尝试确定最佳阈值 | 较高 |
支持向量机 | 适用于海岸地形起伏较小的地区,自动化程度较高 | 较强 | 一般 | 较高 |
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