Information from imagery: ISPRS scientific vision and research agenda

J Chen, I Dowman, S Li, Z Li, M Madden, J Mills… - ISPRS Journal of …, 2016 - Elsevier
With the increased availability of very high-resolution satellite imagery, terrain based
imaging and participatory sensing, inexpensive platforms, and advanced information and …

Semantic segmentation-based building footprint extraction using very high-resolution satellite images and multi-source GIS data

W Li, C He, J Fang, J Zheng, H Fu, L Yu - Remote Sensing, 2019 - mdpi.com
Automatic extraction of building footprints from high-resolution satellite imagery has become
an important and challenging research issue receiving greater attention. Many recent …

DisOptNet: Distilling Semantic Knowledge From Optical Images for Weather-Independent Building Segmentation

J Kang, Z Wang, R Zhu, J Xia, X Sun… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) images provide all-weather and all-time capabilities for Earth
observation, which becomes highly beneficial in the field of intelligent remote sensing (RS) …

Automated detection of buildings from single VHR multispectral images using shadow information and graph cuts

AO Ok - ISPRS journal of photogrammetry and remote sensing, 2013 - Elsevier
In this study, we propose a novel methodology for automated detection of buildings from
single very-high-resolution (VHR) multispectral images. The methodology uses the principal …

Building type classification using spatial and landscape attributes derived from LiDAR remote sensing data

Z Lu, J Im, J Rhee, M Hodgson - Landscape and Urban Planning, 2014 - Elsevier
Building information is one of the key elements for a range of urban planning and
management practices. In this study, an investigation was performed to classify buildings …

MSL-Net: An efficient network for building extraction from aerial imagery

Y Qiu, F Wu, J Yin, C Liu, X Gong, A Wang - Remote Sensing, 2022 - mdpi.com
There remains several challenges that are encountered in the task of extracting buildings
from aerial imagery using convolutional neural networks (CNNs). First, the tremendous …

Traditional village building extraction based on improved Mask R-CNN: a case study of Beijing, China

W Wang, Y Shi, J Zhang, L Hu, S Li, D He, F Liu - Remote Sensing, 2023 - mdpi.com
As an essential material carrier of cultural heritage, the accurate identification and effective
monitoring of buildings in traditional Chinese villages are of great significance to the …

A multiscale and multitask deep learning framework for automatic building extraction

J Yin, F Wu, Y Qiu, A Li, C Liu, X Gong - Remote Sensing, 2022 - mdpi.com
Detecting buildings, segmenting building footprints, and extracting building edges from high-
resolution remote sensing images are vital in applications such as urban planning, change …

Developing a data-fusing method for mapping fine-scale urban three-dimensional building structure

X Wu, J Ou, Y Wen, X Liu, J He, J Zhang - Sustainable Cities and Society, 2022 - Elsevier
Understanding urban morphology is essential for various urban management studies and
local environmental issues and guiding sustainable city development. Existing studies …

[PDF][PDF] 高分辨率光学遥感图像建筑物提取研究进展

王俊, 秦其明, 叶昕, 王建华, 秦雪彬, 杨绣丞 - 遥感技术与应用, 2016 - rsta.ac.cn
建筑物提取是高分辨率光学遥感图像理解和目标识别的重要研究方向. 实现自动化, 智能化,
可靠准确的遥感图像建筑物提取对基础地理数据获取和更新具有重要的应用价值和现实意义 …