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Building Extraction at Scale using Convolutional Neural Network: Mapping
  of the United States

Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States

23 May 2018
Hsiuhan Lexie Yang
Jiangye Yuan
D. Lunga
M. Laverdiere
A. Rose
B. Bhaduri
ArXivPDFHTML

Papers citing "Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States"

5 / 5 papers shown
Title
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial
  Intelligence Research
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research
D. Lunga
Yingjie Hu
Shawn D. Newsam
Song Gao
B. Martins
Hsiuhan Lexie Yang
XueQing Deng
AI4CE
23
3
0
20 Oct 2022
Accurate Polygonal Mapping of Buildings in Satellite Imagery
Accurate Polygonal Mapping of Buildings in Satellite Imagery
Bowen Xu
Jiakun Xu
Nan Xue
Guisong Xia
23
13
0
01 Aug 2022
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing
  Images
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images
L. Ding
H. Tang
Yahui Liu
Yilei Shi
Xiaoxiang Zhu
Lorenzo Bruzzone
3DPC
GAN
26
44
0
22 Feb 2021
Building Footprint Generation by IntegratingConvolution Neural Network
  with Feature PairwiseConditional Random Field (FPCRF)
Building Footprint Generation by IntegratingConvolution Neural Network with Feature PairwiseConditional Random Field (FPCRF)
Qingyu Li
Yilei Shi
Xin Huang
Xiaoxiang Zhu
38
65
0
11 Feb 2020
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
94
233
0
28 Feb 2017
1