A Cross-View Image Matching Method with Feature Enhancement
Most cross-view image matching algorithms focus on designing network structures with excellent performance, ignoring the content information of the image. At the same time, there are non-fixed targets such as cars, ships, and pedestrians in ground perspective images and aerial perspective images. Di...
Main Authors: | Ziyu Rao, Jun Lu, Chuan Li, Haitao Guo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/8/2083 |
Similar Items
-
GeoViewMatch: A Multi-Scale Feature-Matching Network for Cross-View Geo-Localization Using Swin-Transformer and Contrastive Learning
by: Wenhui Zhang, et al.
Published: (2024-02-01) -
Cross-Modal feature description for remote sensing image matching
by: Liangzhi Li, et al.
Published: (2022-08-01) -
Multi-Temporal Remote Sensing Image Registration Using Deep Convolutional Features
by: Zhuoqian Yang, et al.
Published: (2018-01-01) -
Object Detection Based on Adaptive Feature-Aware Method in Optical Remote Sensing Images
by: Jiaqi Wang, et al.
Published: (2022-07-01) -
A cross-stage features fusion network for building extraction from remote sensing images
by: Xiaolong Zuo, et al.
Published: (2024-04-01)