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Continuous Scale Transformations of Linear Features Using Simulated Annealing-Based Morphing

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成果类型:
期刊论文
作者:
Li, Jingzhong*;Ai, Tinghua*;Liu, Pengcheng;Yang, Min
通讯作者:
Li, Jingzhong;Ai, Tinghua
作者机构:
[Li, JZ; Ai, Tinghua; Yang, Min; Li, Jingzhong] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Hubei, Peoples R China.
[Liu, Pengcheng] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Li, JZ; Ai, TH] W
Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Hubei, Peoples R China.
语种:
英文
关键词:
morphing;simulated annealing;detection of characteristic points;matching of characteristic points;continuous generalization
期刊:
ISPRS International Journal of Geo-Information
ISSN:
2220-9964
年:
2017
卷:
6
期:
8
页码:
242-
基金类别:
National Key Research and Development Program of China [2017YFB0503601, 2017YFB0503500]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41671448, 41531180]; China Scholarship Council (CSC)China Scholarship Council [201706275018]
机构署名:
本校为其他机构
院系归属:
城市与环境科学学院
摘要:
This paper presents a new method for use in performing continuous scale transformations of linear features using Simulated Annealing-Based Morphing (SABM). This study addresses two key problems in the continuous generalization of linear features by morphing, specifically the detection of characteristic points and correspondence matching. First, an algorithm that performs robust detection of characteristic points is developed that is based on the Constrained Delaunay Triangulation (CDT) model. Then, an optimal problem is defined and solved to associate the characteristic points between a coarse...

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