HD-Net: High-resolution decoupled network for building footprint extraction via deeply supervised body and boundary decomposition
The extraction of building footprints, as a highly challenging task in remote sensing (RS)
image-based geospatial object detection and recognition, holds significant importance. Due …
image-based geospatial object detection and recognition, holds significant importance. Due …
Complementarity-aware Local-global Feature Fusion Network for Building Extraction in Remote Sensing Images
Building extraction is a challenging research direction in remote sensing image (RSI)
interpretation. Due to the fact that a building has not only its own local structures but also …
interpretation. Due to the fact that a building has not only its own local structures but also …
Asymmetric cascade fusion network for building extraction
The U-Net-like model has been widely studied in the field of building extraction. However,
most of these models are based on locally sensed convolutional neural networks (CNNs) …
most of these models are based on locally sensed convolutional neural networks (CNNs) …
SAMPolyBuild: Adapting the Segment Anything Model for polygonal building extraction
C Wang, J Chen, Y Meng, Y Deng, K Li… - ISPRS Journal of …, 2024 - Elsevier
Extracting polygonal buildings from high-resolution remote sensing images is a critical task
for large-scale mapping, 3D city modeling, and various geographic information system …
for large-scale mapping, 3D city modeling, and various geographic information system …
Building extraction from remote sensing images via an uncertainty-aware network
Building extraction aims to segment building pixels from remote sensing images and plays
an essential role in many applications, such as city planning and urban dynamic monitoring …
an essential role in many applications, such as city planning and urban dynamic monitoring …
Building extraction from remote sensing images with deep learning: A survey on vision techniques
Y Yuan, X Shi, J Gao - Computer Vision and Image Understanding, 2024 - Elsevier
Building extraction from remote sensing images is a hot topic in the fields of computer vision
and remote sensing. In recent years, driven by deep learning, the accuracy of building …
and remote sensing. In recent years, driven by deep learning, the accuracy of building …
RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model
The intelligent interpretation of buildings plays a significant role in urban planning and
management, macroeconomic analysis, population dynamics, etc. Remote sensing image …
management, macroeconomic analysis, population dynamics, etc. Remote sensing image …
A full-attention network with an open dataset for large-scale building semantic segmentation along long-span high-speed rail lines
Buildings adjacent to high-speed rail (HSR) tracks are one of the key concerns in the
environmental hazard monitoring of HSR lines. The rapid and accurate extraction of building …
environmental hazard monitoring of HSR lines. The rapid and accurate extraction of building …
A Sparse Sharing Multi-task Framework for Building Footprint Extraction from Remote Sensing Imagery Following the Dual Lottery Ticket Hypothesis
Building footprint extraction from high-resolution remote sensing imagery is significant for
urban planning, change detection, disaster management, and other applications. Recently …
urban planning, change detection, disaster management, and other applications. Recently …
Enhanced large-scale building extraction evaluation: developing a two-level framework using proxy data and building matching
Deep learning-based building extraction methods have widespread applications in diverse
fields. However, the evaluation of large-scale extraction results remains challenging, due to …
fields. However, the evaluation of large-scale extraction results remains challenging, due to …