SAR立体影像匹配的视差图融合方法

doi:10.11947/j.AGCS.2016.20160040

测绘学报 ›› 2016, Vol. 45 ›› Issue (7): 818-824.doi: 10.11947/j.AGCS.2016.20160040

SAR立体影像匹配的视差图融合方法

王亚超^1,2, 张继贤², 黄国满², 卢丽君², 丁昊^2,3

1. 中国矿业大学环境与测绘学院, 江苏徐州 221008;
2. 中国测绘科学研究院, 北京 100830;
3. 中南大学地球科学与信息物理学院, 湖南长沙 410083

收稿日期:2016-01-27 修回日期:2016-05-02 出版日期:2016-07-20 发布日期:2016-07-28
作者简介:王亚超(1986-),男,博士生,研究方向为雷达摄影测量。E-mail:wyccumt@126.com
基金资助:
测绘地理信息公益性行业科研专项（201412002）；国家自然科学基金（41401530）；对地观测技术国家测绘地理信息局重点实验室基金项目（K201501）

A StereoSAR Matching Method Based on Disparity Maps Fusion

WANG Yachao^1,2, ZHANG Jixian², HUANG Guoman², LU Lijun², DING Hao^2,3

1. School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, China;
2. China Academy of Surveying and Mapping, Beijing 100830, China;
3. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

Received:2016-01-27 Revised:2016-05-02 Online:2016-07-20 Published:2016-07-28
Supported by:
Public Science Research Program of Surveying, Mapping and Geoinformation(No.201412002);The National Natural Science Foundation of China(No.41401530);Funded by the Key Laboratory of Mapping from Space, National Administration of Surveying, Mapping and Geoinformation(No.K201501)

摘要/Abstract

摘要： 提出了一种基于视差图融合的匹配方法。首先，基于归一化互相关系数（normalized cross correlation, NCC），利用多个不同尺寸的匹配窗口分别进行匹配，获取相应的视差图；然后，提出了一种左右一致性（left right consistency, LRC）和信噪比（signal to noise ratio, SNR）相结合的置信测度，用来评价视差图中每个视差的置信水平；在此基础上，提出了一种视差图融合策略，该策略对上述多个匹配窗口获取的视差图进行加权融合，融合时既考虑了视差本身的置信水平，也兼顾了其邻域视差的影响。采用TanDEM-X的聚束立体影像进行试验，结果表明，本文方法能有效减少DEM粗差点，DEM高程精度由11.28 m提高到8.41 m。

关键词: 归一化互相关系数, 视差图融合, 置信测度, 雷达摄影测量

Abstract: A matching algorithm based on disparity maps fusion is proposed. Firstly, on the basis of normalized cross correlation(NCC), various disparity maps are computed using several different matching window sizes. Then, for each disparity of each disparity maps, the confidence level is evaluated by a new confidence measure, which combined left right consistency(LRC) with signal to noise ratio(SNR). Finally, a new proposed disparity maps fusion strategy is used for formation of weighted disparity map in terms of confidence level. This disparity maps fusion strategy considers not only the confidence level of the disparity itself but also its neighbors. The algorithm has been applied to a pair of TanDEM-X spotlight stereo images. The results demonstrate that the accuracy of DEM generated with the proposed algorithm is improved from 11.28 m to 8.41 m and the gross errors are effectively reduced.

Key words: normalized cross correlation(NCC), disparity maps fusion, confidence measure, radargrammetry

中图分类号:

P237

王亚超, 张继贤, 黄国满, 卢丽君, 丁昊. SAR立体影像匹配的视差图融合方法[J]. 测绘学报, 2016, 45(7): 818-824.

WANG Yachao, ZHANG Jixian, HUANG Guoman, LU Lijun, DING Hao. A StereoSAR Matching Method Based on Disparity Maps Fusion[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(7): 818-824.

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SAR立体影像匹配的视差图融合方法

A StereoSAR Matching Method Based on Disparity Maps Fusion

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