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A Unified Model for Near and Remote Sensing

A Unified Model for Near and Remote Sensing

9 August 2017
Scott Workman
Menghua Zhai
David J. Crandall
Nathan Jacobs
ArXivPDFHTML

Papers citing "A Unified Model for Near and Remote Sensing"

15 / 15 papers shown
Title
Mixed-View Panorama Synthesis using Geospatially Guided Diffusion
Mixed-View Panorama Synthesis using Geospatially Guided Diffusion
Zhexiao Xiong
Xin Xing
Scott Workman
Subash Khanal
Nathan Jacobs
DiffM
MDE
64
1
0
12 Jul 2024
Handling Image and Label Resolution Mismatch in Remote Sensing
Handling Image and Label Resolution Mismatch in Remote Sensing
Scott Workman
Armin Hadzic
M. U. Rafique
38
5
0
28 Nov 2022
Towards a Collective Agenda on AI for Earth Science Data Analysis
Towards a Collective Agenda on AI for Earth Science Data Analysis
D. Tuia
R. Roscher
Jan Dirk Wegner
Nathan Jacobs
Xiaoxiang Zhu
Gustau Camps-Valls
AI4CE
44
68
0
11 Apr 2021
Urban land-use analysis using proximate sensing imagery: a survey
Urban land-use analysis using proximate sensing imagery: a survey
Zhinan Qiao
Xiaohui Yuan
11
18
0
13 Jan 2021
Learning a Dynamic Map of Visual Appearance
Learning a Dynamic Map of Visual Appearance
Tawfiq Salem
Scott Workman
Nathan Jacobs
3DH
24
26
0
29 Dec 2020
Dynamic Traffic Modeling From Overhead Imagery
Dynamic Traffic Modeling From Overhead Imagery
Scott Workman
Nathan Jacobs
32
17
0
18 Dec 2020
Bounding Boxes Are All We Need: Street View Image Classification via
  Context Encoding of Detected Buildings
Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected Buildings
Kun Zhao
Yongkun Liu
Siyuan Hao
Shaoxing Lu
Hongbin Liu
Lijian Zhou
40
20
0
03 Oct 2020
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset
  for Semantic Scene Understanding
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding
Xiaoman Qi
P. Zhu
Yuebin Wang
Liqiang Zhang
Junhuan Peng
Mengfan Wu
Jialong Chen
Xudong Zhao
Ning Zang
P. Mathiopoulos
11
112
0
01 Oct 2020
OpenStreetMap: Challenges and Opportunities in Machine Learning and
  Remote Sensing
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing
John E. Vargas-Muñoz
Shivangi Srivastava
D. Tuia
A. X. Falcão
32
105
0
13 Jul 2020
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic
  Segmentation with Side Information
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information
Jing Yu Koh
D. Nguyen
Quang-Trung Truong
Sai-Kit Yeung
Alexander Binder
SSeg
14
4
0
07 Feb 2020
Understanding urban landuse from the above and ground perspectives: a
  deep learning, multimodal solution
Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution
Shivangi Srivastava
John E. Vargas-Muñoz
D. Tuia
17
137
0
05 May 2019
FARSA: Fully Automated Roadway Safety Assessment
FARSA: Fully Automated Roadway Safety Assessment
Weilian Song
Scott Workman
Armin Hadzic
Xu Zhang
Eric Green
Mei Chen
R. Souleyrette
Nathan Jacobs
37
17
0
17 Jan 2019
What Is It Like Down There? Generating Dense Ground-Level Views and
  Image Features From Overhead Imagery Using Conditional Generative Adversarial
  Networks
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks
XueQing Deng
Yi Zhu
Shawn D. Newsam
GAN
30
27
0
13 Jun 2018
Spatial Morphing Kernel Regression For Feature Interpolation
Spatial Morphing Kernel Regression For Feature Interpolation
XueQing Deng
Yi Zhu
Shawn D. Newsam
25
5
0
21 Feb 2018
Understanding and Mapping Natural Beauty
Understanding and Mapping Natural Beauty
Scott Workman
Richard Souvenir
Nathan Jacobs
32
42
0
09 Dec 2016
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