AGDF-Net: Attention-Gated and Direction-Field-Optimized Building Instance Extraction Network
Building extraction from high-resolution remote sensing images has various applications, such as urban planning and population estimation. However, buildings have intraclass heterogeneity and interclass homogeneity in high-resolution remote sensing images with complex backgrounds, which makes the ac...
Main Authors: | Weizhi Liu, Haixin Liu, Chao Liu, Junjie Kong, Can Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/14/6349 |
Similar Items
-
Neural Relation Classification Using Selective Attention and Symmetrical Directional Instances
by: Zhen Tan, et al.
Published: (2018-08-01) -
Synergistic Attention for Ship Instance Segmentation in SAR Images
by: Danpei Zhao, et al.
Published: (2021-10-01) -
Pixel Self-Attention Guided Real-Time Instance Segmentation for Group Raised Pigs
by: Zongwei Jia, et al.
Published: (2023-11-01) -
Semi-Supervised Instance-Segmentation Model for Feature Transfer Based on Category Attention
by: Hao Wang, et al.
Published: (2022-11-01) -
TAGU-Net: Transformer Convolution Hybrid-Based U-Net With Attention Gate for Atypical Meningioma Segmentation
by: Hong Huang, et al.
Published: (2023-01-01)