| dc.contributor.author | Li, Ya | |
| dc.date.accessioned | 2026-08-20T21:01:14Z | |
| dc.date.available | 2026-08-20T21:01:14Z | |
| dc.date.copyright | 2025/08/26 | |
| dc.date.issued | 2025 | |
| dc.identifier.other | JUPDDM.UPENG-5838.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313828 | |
| dc.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 ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Adaptive Swin Transformer with Multiscale Attention for Urban and Rural Remote-Sensing Image Classification | |
| dc.type | Journal Article | |
| dc.journal.volume | 151 | |
| dc.journal.issue | 4 | |
| dc.journal.title | Journal of Urban Planning and Development | |
| dc.identifier.doi | 10.1061/JUPDDM.UPENG-5838 | |
| dc.journal.fristpage | 04025058-1 | |
| dc.journal.lastpage | 04025058-10 | |
| dc.page | 10 | |
| dc.tree | Journal of Urban Planning and Development:;2025:;Volume ( 151 ):;issue: 004 | |
| dc.contenttype | Fulltext | |
