SGCM: Semantic and Geometric Consistency for Robust Aerial Image Matching
Aerial image matching remains an ongoing challenge due to the significant geometric distortions and nonlinear radiation distortion. Most current approaches primarily focus on low-level image features, while overlooking the potential of high-level semantic information to guide the matching process, l...
Saved in:
| Main Authors: | Xiangzeng Liu, Guanglu Shi, Chi Wang, Xiaodong Zhang, Qiguang Miao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11105454/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A SAM-adapted weakly-supervised semantic segmentation method constrained by uncertainty and transformation consistency
by: Yinxia Cao, et al.
Published: (2025-03-01) -
Robust Line Feature Matching via Point–Line Invariants and Geometric Constraints
by: Chenyang Zhang, et al.
Published: (2025-05-01) -
Hybrid Deep–Geometric Approach for Efficient Consistency Assessment of Stereo Images
by: Michał Kowalczyk, et al.
Published: (2025-07-01) -
Precise Feature Removal Method Based on Semantic and Geometric Dual Masks in Dynamic SLAM
by: Zhanrong Li, et al.
Published: (2025-06-01) -
Novel cross-dimensional coarse-fine-grained complementary network for image-text matching
by: Meizhen Liu, et al.
Published: (2025-03-01)