Style Alignment-Based Dynamic Observation Method for UAV-View Geo-Localization Article Swipe
Jie Shao
,
Longhao Jiang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/tgrs.2023.3337383
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/tgrs.2023.3337383
The task of UAV-view geo-localization is to estimate the localization of a\nquery satellite/drone image by matching it against a reference dataset\nconsisting of drone/satellite images. Though tremendous strides have been made\nin feature alignment between satellite and drone views, vast differences in\nboth inter and intra-class due to changes in viewpoint, altitude, and lighting\nremain a huge challenge. In this paper, a style alignment based dynamic\nobservation method for UAV-view geo-localization is proposed to meet the above\nchallenges from two perspectives: visual style transformation and surrounding\nnoise control. Specifically, we introduce a style alignment strategy to\ntransfrom the diverse visual style of drone-view images into a unified\nsatellite images visual style. Then a dynamic observation module is designed to\nevaluate the spatial distribution of images by mimicking human observation\nhabits. It is featured by the hierarchical attention block (HAB) with a\ndual-square-ring stream structure, to reduce surrounding noise and geographical\ndeformation. In addition, we propose a deconstruction loss to push away\nfeatures of different geo-tags and squeeze knowledge from unmatched images by\ncorrelation calculation. The experimental results demonstrate the\nstate-of-the-art performance of our model on benchmarked datasets. In\nparticular, when compared to the prior art on University-1652, our results\nsurpass the best of them (FSRA), while only requiring 2x fewer parameters. Code\nwill be released at https://github.com/Xcco1/SA\\_DOM\n
Related Topics
Concepts
Computer science
Artificial intelligence
Drone
Block (permutation group theory)
Computer vision
Noise (video)
Satellite
Transformation (genetics)
Matching (statistics)
Feature (linguistics)
Code (set theory)
Remote sensing
Image (mathematics)
Geography
Engineering
Programming language
Mathematics
Geometry
Set (abstract data type)
Linguistics
Chemistry
Genetics
Biochemistry
Gene
Biology
Philosophy
Aerospace engineering
Statistics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tgrs.2023.3337383
- OA Status
- green
- Cited By
- 14
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389104778
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389104778Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/tgrs.2023.3337383Digital Object Identifier
- Title
-
Style Alignment-Based Dynamic Observation Method for UAV-View Geo-LocalizationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Jie Shao, Longhao JiangList of authors in order
- Landing page
-
https://doi.org/10.1109/tgrs.2023.3337383Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2407.02832Direct OA link when available
- Concepts
-
Computer science, Artificial intelligence, Drone, Block (permutation group theory), Computer vision, Noise (video), Satellite, Transformation (genetics), Matching (statistics), Feature (linguistics), Code (set theory), Remote sensing, Image (mathematics), Geography, Engineering, Programming language, Mathematics, Geometry, Set (abstract data type), Linguistics, Chemistry, Genetics, Biochemistry, Gene, Biology, Philosophy, Aerospace engineering, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 6Per-year citation counts (last 5 years)
- References (count)
-
48Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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