Results 31 to 40 of about 245,559 (259)

Fusion of Multiscale Convolutional Neural Networks for Building Extraction in Very High-Resolution Images

Remote Sensing, 2019
Extracting buildings from very high resolution (VHR) images has attracted much attention but is still challenging due to their large varieties in appearance and scale.
Genyun Sun, Hui Huang, Aizhu Zhang, Feng Li, Huimin Zhao, Hang Fu   +5 more
doaj   +1 more source

A Multiscale and Multitask Deep Learning Framework for Automatic Building Extraction

Remote Sensing, 2022
Detecting buildings, segmenting building footprints, and extracting building edges from high-resolution remote sensing images are vital in applications such as urban planning, change detection, smart cities, and map-making and updating.
Jichong Yin, Fang Wu, Yue Qiu, Anping Li, Chengyi Liu, Xianyong Gong   +5 more
doaj   +1 more source

Building extraction from digital elevation models

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003
We aim to extract buildings from Digital Elevation Models. To achieve this goal, we define a point process whose points represent buildings. We then define a density for this point process which is split into two parts. When written as an energy this density consists of two fields : the first one is an "internal field" that allows us to model the prior
Ortner, Mathias, Descombes, Xavier, Zerubia, Josiane   +2 more
openaire   +2 more sources

Joint Learning of Contour and Structure for Boundary-Preserved Building Extraction

Remote Sensing, 2021
Most of the existing approaches to the extraction of buildings from high-resolution orthoimages consider the problem as semantic segmentation, which extracts a pixel-wise mask for buildings and trains end-to-end with manually labeled building maps ...
Cheng Liao, Han Hu, Haifeng Li, Xuming Ge, Min Chen, Chuangnong Li, Qing Zhu   +6 more
doaj   +1 more source

Automatic Building Extraction from Terrestrial Laser Scanning Data

Advances in Electrical and Computer Engineering, 2013
The extraction of building from the huge amount of point clouds with different local densities, especially in the presence of random noisy points, is still a formidable challenge.
SHI, Z., ZHANG, J., ZHAO, M., NING, X., WANG, Y., HAO, W., ZHANG, X.   +6 more
doaj   +1 more source

Building Extraction and Number Statistics in WUI Areas Based on UNet Structure and Ensemble Learning

Remote Sensing, 2021
Following the advancement and progression of urbanization, management problems of the wildland–urban interface (WUI) have become increasingly serious.
De-Yue Chen, Ling Peng, Wei-Chao Li, Yin-Da Wang   +3 more
doaj   +1 more source

Building a generic debugger for information extraction pipelines [PDF]

Proceedings of the 20th ACM international conference on Information and knowledge management, 2011
Complex information extraction (IE) pipelines are becoming an integral component of most text processing frameworks. We introduce a first system to help IE users analyze extraction pipeline semantics and operator transformations interactively while debugging.
Anish Das Sarma, Alpa Jain, Philip Bohannon   +2 more
openaire   +1 more source

A Geometric Significance-Aware Deep Mutual Learning Network for Building Extraction from Aerial Images

Drones
Knowledge-driven building extraction method exhibits a restricted adaptability scope and is vulnerable to external factors that affect its extraction accuracy.
Ming Hao, Huijing Lin, Shilin Chen, Weiqiang Luo, Hua Zhang, Nanshan Zheng   +5 more
doaj   +1 more source

ME-FCN: A Multi-Scale Feature-Enhanced Fully Convolutional Network for Building Footprint Extraction

Remote Sensing
The precise extraction of building footprints using remote sensing technology is increasingly critical for urban planning and development amid growing urbanization.
Hui Sheng, Yaoteng Zhang, Wei Zhang, Shiqing Wei, Mingming Xu, Yasir Muhammad   +5 more
doaj   +1 more source

Intelligent Segmentation of Urban Building Roofs and Solar Energy Potential Estimation for Photovoltaic Applications

Journal of Imaging
To support dual-carbon objectives and enhance the accuracy of rooftop distributed photovoltaic (PV) planning, this study proposes a multidimensional coupled evaluation framework that integrates an improved rooftop segmentation network (CESW-TransUNet), a
Junsen Zeng, Minglong Yang, Xiujuan Tang, Xiaotong Guan, Tingting Ma   +4 more
doaj   +1 more source