A review of building detection from very high resolution optical remote sensing images
Building detection from very high resolution (VHR) optical remote sensing images, which is an essential but challenging task in remote sensing, has attracted increased attention in recent years. However, despite the many methods that have been developed, an in-depth review of the recent literature o...
Main Authors: | Jiayi Li, Xin Huang, Lilin Tu, Tao Zhang, Leiguang Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2022-12-01
|
Series: | GIScience & Remote Sensing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/15481603.2022.2101727 |
Similar Items
-
Research on Building Target Detection Based on High-Resolution Optical Remote Sensing Imagery
by: Yong Mei, et al.
Published: (2021-10-01) -
Multi-Scale Feature Fusion Attention Network for Building Extraction in Remote Sensing Images
by: Jia Liu, et al.
Published: (2024-02-01) -
Multiconstraint Transformer-Based Automatic Building Extraction From High-Resolution Remote Sensing Images
by: Wei Yuan, et al.
Published: (2023-01-01) -
Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images
by: Ziyi Chen, et al.
Published: (2021-06-01) -
A cross-stage features fusion network for building extraction from remote sensing images
by: Xiaolong Zuo, et al.
Published: (2024-04-01)