A Review of Building Extraction from Remote Sensing Imagery: Geometrical Structures and Semantic Attributes
In the remote sensing community, extracting buildings from remote sensing imagery has
triggered great interest. While many studies have been conducted, a comprehensive review …
triggered great interest. While many studies have been conducted, a comprehensive review …
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 …
Multiscale change detection network based on channel attention and fully convolutional BiLSTM for medium-resolution remote sensing imagery
Remote sensing change detection (CD) is used to detect the difference in the state of objects
or phenomena by observing it at different times. CD is widely used in disaster monitoring …
or phenomena by observing it at different times. CD is widely used in disaster monitoring …
Patched Line Segment Learning for Vector Road Mapping
This paper presents a novel approach to computing vector road maps from satellite remotely
sensed images, building upon a well-defined Patched Line Segment (PaLiS) representation …
sensed images, building upon a well-defined Patched Line Segment (PaLiS) representation …
SANET: A Shape-aware Building Footprints Extraction Method in Remote Sensing Images by Integrating Fourier Shape Descriptors
A Hu, L Wu, Y Xu, Z Xie - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
While most state-of-the-art building extraction methods can generate precise binary
segmentation masks, geographic and cartographic applications typically require vectorized …
segmentation masks, geographic and cartographic applications typically require vectorized …
HigherNet-DST: Higher resolution network with dynamic scale training for rooftop delineation
High-definition (HD) maps of building rooftops or footprints are important for urban
application and disaster management. Rapid creation of such HD maps through rooftop …
application and disaster management. Rapid creation of such HD maps through rooftop …
SingleRecon: Reconstructing Building 3D models of LoD1 from A Single Off-Nadir Remote Sensing Image
R Shao, JJ Wu, J Li, S Peng, H Chen… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
3-D building models are one of the most intuitive and widely used forms for understanding
urban buildings. Generating 3-D building models based on a single off-nadir satellite image …
urban buildings. Generating 3-D building models based on a single off-nadir satellite image …
End-to-end multiview fusion for building mapping from aerial images
In the domain of photogrammetry, the fusion of information from multiple views holds the
potential to significantly enhance the accuracy and robustness of building mapping. While …
potential to significantly enhance the accuracy and robustness of building mapping. While …
[HTML][HTML] CadastreVision: A benchmark dataset for cadastral boundary delineation from multi-resolution earth observation images
J Grift, C Persello, M Koeva - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
Abstract Approximately 70%–75% of people worldwide have no formally registered land
rights. Fit-For-Purpose Land Administration was introduced to address this problem and …
rights. Fit-For-Purpose Land Administration was introduced to address this problem and …
Vectorized building extraction from high-resolution remote sensing images using spatial cognitive graph convolution model
Traditional approach from source image to application vectors in building extraction needs
additional complex regularization of converted intermediate raster results. While in …
additional complex regularization of converted intermediate raster results. While in …