On the Robustness and Generalization Ability of Building Footprint Extraction on the Example of SegNet and Mask R-CNN
Building footprint (BFP) extraction focuses on the precise pixel-wise segmentation of buildings from aerial photographs such as satellite images. BFP extraction is an essential task in remote sensing and represents the foundation for many higher-level analysis tasks, such as disaster management, mon...
Main Authors: | Muntaha Sakeena, Eric Stumpe, Miroslav Despotovic, David Koch, Matthias Zeppelzauer |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/8/2135 |
Similar Items
-
SM-SegNet: A Lightweight Squeeze M-SegNet for Tissue Segmentation in Brain MRI Scans
by: Nagaraj Yamanakkanavar, et al.
Published: (2022-07-01) -
Research on road surface crack detection based on SegNet network
by: Cunge Guo, et al.
Published: (2024-03-01) -
Liver Tumor Segmentation in CT Scans Using Modified SegNet
by: Sultan Almotairi, et al.
Published: (2020-03-01) -
Challenges to quantify the life cycle carbon footprint of buildings in Chile
by: Wiche Pia, et al.
Published: (2022-01-01) -
Automatic Extraction Method of Aquaculture Sea Based on Improved SegNet Model
by: Weiyi Xie, et al.
Published: (2023-10-01)