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The Synthinel-1 dataset: a collection of high resolution synthetic
  overhead imagery for building segmentation

The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation

15 January 2020
Fanjie Kong
Bohao Huang
Kyle Bradbury
Jordan M. Malof
ArXivPDFHTML

Papers citing "The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation"

19 / 19 papers shown
Title
Enhancing Monocular Height Estimation via Sparse LiDAR-Guided Correction
Enhancing Monocular Height Estimation via Sparse LiDAR-Guided Correction
Jian Song
Hongruixuan Chen
Naoto Yokoya
29
0
0
11 May 2025
SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from
  Monocular Remote Sensing Imagery
SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery
Jian Song
Hongruixuan Chen
Weihao Xuan
Junshi Xia
Naoto Yokoya
31
4
0
26 Jun 2024
Using Game Engines and Machine Learning to Create Synthetic Satellite
  Imagery for a Tabletop Verification Exercise
Using Game Engines and Machine Learning to Create Synthetic Satellite Imagery for a Tabletop Verification Exercise
John L. Hoster
Sara Al-Sayed
Felix Biessmann
Alexander Glaser
Kristian Hildebrand
Igor Moric
Tuong Vy Nguyen
21
1
0
17 Apr 2024
SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and
  Building Change Detection
SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection
Jian Song
Hongruixuan Chen
Naoto Yokoya
30
13
0
05 Sep 2023
MultiScale Probability Map guided Index Pooling with Attention-based
  learning for Road and Building Segmentation
MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation
Shirsha Bose
Ritesh Sur Chowdhury
Debabrata Pal
Shivashish Bose
Biplab Banerjee
S. Chaudhuri
24
6
0
18 Feb 2023
Transformers For Recognition In Overhead Imagery: A Reality Check
Transformers For Recognition In Overhead Imagery: A Reality Check
Francesco Luzi
Aneesh Gupta
L. Collins
Kyle Bradbury
Jordan M. Malof
ViT
24
4
0
23 Oct 2022
EarthNets: Empowering AI in Earth Observation
EarthNets: Empowering AI in Earth Observation
Zhitong Xiong
Fahong Zhang
Yi Wang
Yilei Shi
Xiao Xiang Zhu
86
73
0
10 Oct 2022
Centerpoints Are All You Need in Overhead Imagery
Centerpoints Are All You Need in Overhead Imagery
James Mason Inder
Mark Lowell
A. J. Maltenfort
3DPC
36
2
0
04 Oct 2022
Mastering Spatial Graph Prediction of Road Networks
Mastering Spatial Graph Prediction of Road Networks
Sotiris Anagnostidis
Aurélien Lucchi
Thomas Hofmann
GNN
27
1
0
03 Oct 2022
Meta-simulation for the Automated Design of Synthetic Overhead Imagery
Meta-simulation for the Automated Design of Synthetic Overhead Imagery
Handi Yu
Simiao Ren
L. Collins
Jordan M. Malof
19
1
0
19 Sep 2022
Learning to Extract Building Footprints from Off-Nadir Aerial Images
Learning to Extract Building Footprints from Off-Nadir Aerial Images
Jinwang Wang
Lingxuan Meng
Weijia Li
Wen Yang
Lei Yu
Guisong Xia
30
35
0
28 Apr 2022
Automated Extraction of Energy Systems Information from Remotely Sensed
  Data: A Review and Analysis
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis
Simiao Ren
Wei Hu
Kyle Bradbury
D. Harrison-Atlas
L. M. Valeri
Brian Murray
Jordan M. Malof
13
26
0
18 Feb 2022
Leveraging Synthetic Data in Object Detection on Unmanned Aerial
  Vehicles
Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
Benjamin Kiefer
D. Ott
A. Zell
31
44
0
22 Dec 2021
SyntEO: Synthetic Data Set Generation for Earth Observation and Deep
  Learning -- Demonstrated for Offshore Wind Farm Detection
SyntEO: Synthetic Data Set Generation for Earth Observation and Deep Learning -- Demonstrated for Offshore Wind Farm Detection
Thorsten Hoeser
C. Kuenzer
37
19
0
06 Dec 2021
SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and
  Few-Shot Detection Problems
SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems
Yang Xu
Bohao Huang
Xiong Luo
Kyle Bradbury
Jordan M. Malof
11
4
0
29 Jun 2021
Randomized Histogram Matching: A Simple Augmentation for Unsupervised
  Domain Adaptation in Overhead Imagery
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
Can Yaris
Kaleb Kassaw
Bohao Huang
Kyle Bradbury
Jordan M. Malof
21
20
0
28 Apr 2021
GridTracer: Automatic Mapping of Power Grids using Deep Learning and
  Overhead Imagery
GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery
Bohao Huang
Jichen Yang
Artem Streltsov
Kyle Bradbury
L. Collins
Jordan M. Malof
12
8
0
16 Jan 2021
RarePlanes: Synthetic Data Takes Flight
RarePlanes: Synthetic Data Takes Flight
Jacob Shermeyer
T. Hossler
A. V. Etten
Daniel Hogan
Ryan Lewis
Daeil Kim
19
104
0
04 Jun 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,639
0
02 Nov 2015
1