Method and Spatiotemporal Analysis for Impervious Surface Extraction Based on an Improved DeepLabV3+ Model
As global urbanization accelerates, accurate extraction of urban impervious surfaces has become crucial for urban planning, resource management, and environmental protection. However, existing methods face significant challenges handling high-resolution remote sensing images, especially in distingui...
Saved in:
Main Authors: | Xueyi Wang, Bowen Fan, Yanguo Fan, Ran Xu, Guangyue Feng, Qingchun Guan |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10778188/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DFMA: an improved DeepLabv3+ based on FasterNet, multi-receptive field, and attention mechanism for high-throughput phenotyping of seedlings
by: Liangquan Jia, et al.
Published: (2025-01-01) -
Investigation of Impervious surface and Urban Surface Temperature in Qaemshahr
by: Taher Safarrad, et al.
Published: (2021-09-01) -
Ethnic Architectural Heritage Identification Using Low-Altitude UAV Remote Sensing and Improved Deep Learning Algorithms
by: Ting Luo, et al.
Published: (2024-12-01) -
Lightweight Tea Shoot Picking Point Recognition Model Based on Improved DeepLabV3+
by: HU Chengxi, et al.
Published: (2024-09-01) -
Enhancing Road Scene Segmentation With an Optimized DeepLabV3+
by: Zhe Ren, et al.
Published: (2024-01-01)