Laser & Optoelectronics Progress, Volume. 58, Issue 22, 2228009(2021)
Dense Matching of Multi-View Remote Sensing Terrain Image Based on Improved PMVS Algorithm
Fig. 5. Constraint relationship between feature point f and potential candidate matching point f'
Fig. 6. Detected results of features. (a) Four terrain images of features to be detected; (b) detected results of features by Harris operator; (c) detected results of features by SIFT operator; (d) detected results of features by improving SIFT operator
Fig. 7. Reconstruction results of two areas using PMVS algorithm and proposed algorithm. (a) Images to be reconstructed; (b) reconstruction results of PMVS algorithm; (c) reconstruction results of proposed algorithm
Fig. 8. Reconstruction results of two areas using PMVS algorithm and proposed algorithm. (a) Images to be reconstructed; (b) reconstruction results of PMVS; (c) reconstruction results of ours
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Yangping Wang, Xibing Liu, Jingyu Yang, Jianwu Dang. Dense Matching of Multi-View Remote Sensing Terrain Image Based on Improved PMVS Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2228009
Category: Remote Sensing and Sensors
Received: Jan. 13, 2021
Accepted: Feb. 4, 2021
Published Online: Nov. 10, 2021
The Author Email: Xibing Liu (1972431896@qq.com)