ICT-Net: A Framework for Multi-Domain Cross-View Geo-Localization with Multi-Source Remote Sensing Fusion
Traditional single neural network-based geo-localization methods for cross-view imagery primarily rely on polar coordinate transformations while suffering from limited global correlation modeling capabilities. To address these fundamental challenges of weak feature correlation and poor scene adaptat...
Saved in:
Main Authors: | Min Wu, Sirui Xu, Ziwei Wang, Jin Dong, Gong Cheng, Xinlong Yu, Yang Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/17/12/1988 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MCFA: Multi-Scale Cascade and Feature Adaptive Alignment Network for Cross-View Geo-Localization
by: Kaiji Hou, et al.
Published: (2025-07-01) -
EEG Depression Recognition Based on Multi-domain Features Combined with CBAM Model
by: CHEN Yu, et al.
Published: (2024-06-01) -
The development of Schoology web-based learning media with GeoGebra to improve the ICT literacy on quadratic functions
by: Arif Fatahillah, et al.
Published: (2020-08-01) -
ICT TECHNIQUES IN HIGHER EDUCATION: AZERBAIJAN EXPERIENCE IN PANDEMIC
by: Abasova Samira Huseyn qizi
Published: (2023-07-01) -
Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection
by: Meng Jiao, et al.
Published: (2024-01-01)