Unsupervised learning-based panoramic unfolded image stitching method for rock mass borehole wall
Traditional methods for panoramic unfolded image stitching of rock mass borehole walls suffer from insufficient robustness in establishing feature correspondences between adjacent images, as well as poor quality, limited quantity of extracted image feature points and otherc problems. Meanwhile, supe...
Saved in:
| Main Authors: | XIAO Yu, LI Zehao, WANG Chao |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2025-05-01
|
| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024100008 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
UTSFANet: Unsupervised Two-Stage Fine Adjustment Network for Infrared Remote Sensing Image Stitching
by: Pengfei Zhang, et al.
Published: (2025-01-01) -
Fast panoramic image stitching algorithm based on parameter regression
by: Fan GUO, et al.
Published: (2023-09-01) -
Automatic stitching method for spherical panoramic video
by: Lihong Luo, et al.
Published: (2019-04-01) -
Panoramic Image Generation Algorithm Based on Cylindrical Surface Mapping
by: Fuquan Ji, et al.
Published: (2025-01-01) -
A Method for Borehole Image Reverse Positioning and Restoration Based on Grayscale Characteristics
by: Shuangyuan Chen, et al.
Published: (2024-12-01)