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JI Song, ZHANG Yongsheng, YANG Zhe, DAI Chenguang. MVLL Match Method for Multi-baseline Stereo Imagery Based on Semi-global Constraint[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200478
Citation: JI Song, ZHANG Yongsheng, YANG Zhe, DAI Chenguang. MVLL Match Method for Multi-baseline Stereo Imagery Based on Semi-global Constraint[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200478

MVLL Match Method for Multi-baseline Stereo Imagery Based on Semi-global Constraint

doi: 10.13203/j.whugis20200478
Funds:

The National Natural Science Foundation of China (41971427)

  • Received Date: 2020-09-09
    Available Online: 2022-05-13
  • In the multi baseline stereo image MVLL matching process, the accurate elevation of object space points is searched along the ground plumb line, which can be equivalent to the accurate parallax search along the epipolar image space. Under the above conditions, the MVLL matching measure can be calculated and optimized by semi global constraint to obtain more reliable matching results. And then, an optimal solution of the multi baseline stereo image MVLL matching method is obtained under the semi global constraint. The effectiveness of the method is verified by experiments and analysis of various terrain features and local image areas, and the experimental results show that the method can optimize the object space matching measure of different terrain features, obtain more reliable matching results, and have higher image matching performance.

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MVLL Match Method for Multi-baseline Stereo Imagery Based on Semi-global Constraint

doi: 10.13203/j.whugis20200478
Funds:

The National Natural Science Foundation of China (41971427)

Abstract: 

In the multi baseline stereo image MVLL matching process, the accurate elevation of object space points is searched along the ground plumb line, which can be equivalent to the accurate parallax search along the epipolar image space. Under the above conditions, the MVLL matching measure can be calculated and optimized by semi global constraint to obtain more reliable matching results. And then, an optimal solution of the multi baseline stereo image MVLL matching method is obtained under the semi global constraint. The effectiveness of the method is verified by experiments and analysis of various terrain features and local image areas, and the experimental results show that the method can optimize the object space matching measure of different terrain features, obtain more reliable matching results, and have higher image matching performance.

JI Song, ZHANG Yongsheng, YANG Zhe, DAI Chenguang. MVLL Match Method for Multi-baseline Stereo Imagery Based on Semi-global Constraint[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200478
Citation: JI Song, ZHANG Yongsheng, YANG Zhe, DAI Chenguang. MVLL Match Method for Multi-baseline Stereo Imagery Based on Semi-global Constraint[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200478
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