Adaptive Swin Transformer with Multiscale Attention for Urban and Rural Remote-Sensing Image ClassificationSource: Journal of Urban Planning and Development:;2025:;Volume ( 151 ):;issue: 004::page 04025058-1Author:Li, Ya
DOI: 10.1061/JUPDDM.UPENG-5838Publisher: American Society of Civil Engineers
Abstract: Abstract Urban and rural planning faces challenges in processing complex image data. Traditional
methods, relying on manual feature extraction and rule-based models, struggle with
large-scale remote-sensing data. Although deep learning methods have ...
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| contributor author | Li, Ya | |
| date accessioned | 2026-08-20T21:01:14Z | |
| date available | 2026-08-20T21:01:14Z | |
| date copyright | 2025/08/26 | |
| date issued | 2025 | |
| identifier other | JUPDDM.UPENG-5838.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313828 | |
| description abstract | Abstract Urban and rural planning faces challenges in processing complex image data. Traditional methods, relying on manual feature extraction and rule-based models, struggle with large-scale remote-sensing data. Although deep learning methods have ... | |
| publisher | American Society of Civil Engineers | |
| title | Adaptive Swin Transformer with Multiscale Attention for Urban and Rural Remote-Sensing Image Classification | |
| type | Journal Article | |
| journal volume | 151 | |
| journal issue | 4 | |
| journal title | Journal of Urban Planning and Development | |
| identifier doi | 10.1061/JUPDDM.UPENG-5838 | |
| journal fristpage | 04025058-1 | |
| journal lastpage | 04025058-10 | |
| page | 10 | |
| tree | Journal of Urban Planning and Development:;2025:;Volume ( 151 ):;issue: 004 | |
| contenttype | Fulltext |