Academic Journal
Spatial-Temporal Evolution Guided Change Detection Network for Remote Sensing Images
| العنوان: | Spatial-Temporal Evolution Guided Change Detection Network for Remote Sensing Images |
|---|---|
| المؤلفون: | Qingwang Wang, Zheng Hong, Jiangbo Huang, Xiaobin Zhao, Jian Song, Kai Zeng, Jianwu Shi, Tao Shen |
| المصدر: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14080-14092 (2024) |
| بيانات النشر: | IEEE, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Ocean engineering LCC:Geophysics. Cosmic physics |
| مصطلحات موضوعية: | Change detection (CD), convolutional neural network, deep learning (DL), spatial-temporal evolution, very high resolution (VHR) image, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809 |
| الوصف: | With the rapid advancement of remote sensing technology, bitemporal remote sensing change detection (CD) techniques have also seen significant progress. However, existing CD tasks still face two challenges: 1) Variations in lighting and seasonal factors complicate imaging conditions, causing pseudovariation interference, and 2) the spatial distribution and shapes of building are diverse, leading to difficulties in extracting and utilizing effective change features. In this article, we propose the spatial-temporal evolution guided change detection network (STEGNet) to capture and fully utilize rich spatial-temporal information. Specifically, we develop the chrono colorizer to mitigate pseudovariant interference by standardizing color styles and enriching time series information. In addition, we introduce the temporal-spatial guidance module, which combines spatial-temporal information to guide the decoding operation and mitigate information loss during spatial-temporal fusion, resulting in finer prediction results. Experimental results on three benchmark datasets demonstrate that STEGNet effectively suppresses pseudovariation interference and significantly improves the integrity of detection boundaries. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1939-1404 2151-1535 |
| Relation: | https://ieeexplore.ieee.org/document/10623713/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535 |
| DOI: | 10.1109/JSTARS.2024.3439510 |
| URL الوصول: | https://doaj.org/article/6b1bbb909c6f4001bc2a9c632302b089 |
| رقم الانضمام: | edsdoj.6b1bbb909c6f4001bc2a9c632302b089 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 19391404 21511535 |
|---|---|
| DOI: | 10.1109/JSTARS.2024.3439510 |