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Semantic Segmentation of Earth Observation Data Using Multimodal and
  Multi-scale Deep Networks

Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks

22 September 2016
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
    SSeg
ArXivPDFHTML

Papers citing "Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks"

25 / 25 papers shown
Title
Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation
Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation
Daniele Rege Cambrin
Luca Colomba
Paolo Garza
44
0
0
28 Apr 2025
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
Chengzhi Wu
Yuxin Wan
Hao Fu
Julius Pfrommer
Zeyun Zhong
Junwei Zheng
Jiaming Zhang
Jürgen Beyerer
3DPC
54
0
0
28 Apr 2025
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for
  Cross-City Semantic Segmentation using High-Resolution Domain Adaptation
  Networks
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks
Danfeng Hong
Bing Zhang
Hao Li
Yuxuan Li
Jing Yao
Chenyu Li
Martin Werner
Jocelyn Chanussote
Alexander Zipf
Xiaoxiang Zhu
SSeg
19
336
0
26 Sep 2023
GAN-Based Object Removal in High-Resolution Satellite Images
GAN-Based Object Removal in High-Resolution Satellite Images
Hadi Mansourifar
S. Simske
GAN
16
3
0
24 Jan 2023
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial
  Application Case on Autonomous Disassembly
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly
Chengzhi Wu
Xuelei Bi
Julius Pfrommer
Alexander Cebulla
Simon Mangold
Jürgen Beyerer
3DPC
19
20
0
12 Jan 2023
Multi-modal land cover mapping of remote sensing images using pyramid
  attention and gated fusion networks
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
22
14
0
06 Nov 2021
Representation Learning for Remote Sensing: An Unsupervised Sensor
  Fusion Approach
Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach
Aidan M. Swope
X. Rudelis
Kyle T. Story
SSL
18
20
0
11 Aug 2021
Panoptic Segmentation of Satellite Image Time Series with Convolutional
  Temporal Attention Networks
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Vivien Sainte Fare Garnot
Loic Landrieu
AI4TS
71
150
0
16 Jul 2021
Spatiotemporal Fusion in Remote Sensing
Spatiotemporal Fusion in Remote Sensing
Hessah Albanwan
R. Qin
11
3
0
06 Jul 2021
SCG-Net: Self-Constructing Graph Neural Networks for Semantic
  Segmentation
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
GNN
SSeg
25
10
0
03 Sep 2020
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing
  Imagery Classification
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification
Danfeng Hong
Lianru Gao
Naoto Yokoya
Jing Yao
Jocelyn Chanussot
Q. Du
Bing Zhang
44
950
0
12 Aug 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated
  Image Segmentation
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
Ali Hatamizadeh
SSeg
21
3
0
23 Jun 2020
Deep Learning Meets SAR
Deep Learning Meets SAR
Xiaoxiang Zhu
S. Montazeri
Mohsin Ali
Yuansheng Hua
Yuanyuan Wang
Lichao Mou
Yilei Shi
Feng Xu
R. Bamler
28
218
0
17 Jun 2020
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets
Sinem Aslan
Marcello Pelillo
16
1
0
20 Sep 2019
Dense Dilated Convolutions Merging Network for Semantic Mapping of
  Remote Sensing Images
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
13
14
0
30 Aug 2019
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
ConvPoint: Continuous Convolutions for Point Cloud Processing
ConvPoint: Continuous Convolutions for Point Cloud Processing
Alexandre Boulch
3DPC
14
239
0
04 Apr 2019
ResUNet-a: a deep learning framework for semantic segmentation of
  remotely sensed data
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
F. Diakogiannis
F. Waldner
P. Caccetta
Chen Wu
SSeg
13
1,276
0
01 Apr 2019
Polarimetric Convolutional Network for PolSAR Image Classification
Polarimetric Convolutional Network for PolSAR Image Classification
Xu Liu
L. Jiao
Xu Tang
Qigong Sun
Dan Zhang
23
96
0
09 Jul 2018
Tiling and Stitching Segmentation Output for Remote Sensing: Basic
  Challenges and Recommendations
Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations
Bohao Huang
Daniel Reichman
L. Collins
Kyle Bradbury
Jordan M. Malof
14
44
0
30 May 2018
Dynamic Multi-Context Segmentation of Remote Sensing Images based on
  Convolutional Networks
Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks
Keiller Nogueira
M. Dalla Mura
Jocelyn Chanussot
William R. Schwartz
J. A. dos Santos
SSeg
15
132
0
11 Apr 2018
Land cover mapping at very high resolution with rotation equivariant
  CNNs: towards small yet accurate models
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models
Diego Marcos
Michele Volpi
B. Kellenberger
D. Tuia
15
234
0
16 Mar 2018
Joint Learning from Earth Observation and OpenStreetMap Data to Get
  Faster Better Semantic Maps
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
24
105
0
17 May 2017
ShaResNet: reducing residual network parameter number by sharing weights
ShaResNet: reducing residual network parameter number by sharing weights
Alexandre Boulch
21
26
0
28 Feb 2017
Classification With an Edge: Improving Semantic Image Segmentation with
  Boundary Detection
Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection
D. Marmanis
Konrad Schindler
Jan Dirk Wegner
S. Galliani
Mihai Datcu
Uwe Stilla
29
603
0
05 Dec 2016
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