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BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image
  Understanding

BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding

16 February 2019
Gencer Sumbul
Marcela Charfuelan
Begüm Demir
Volker Markl
ArXivPDFHTML

Papers citing "BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding"

21 / 171 papers shown
Title
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image
  Classification
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification
A. Aksoy
Mahdyar Ravanbakhsh
Begüm Demir
35
24
0
19 Dec 2020
Semi-Supervised Semantic Segmentation in Earth Observation: The
  MiniFrance Suite, Dataset Analysis and Multi-task Network Study
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
J. Castillo-Navarro
Bertrand Le Saux
Alexandre Boulch
Nicolas Audebert
Sébastien Lefèvre
22
70
0
15 Oct 2020
Land Cover Semantic Segmentation Using ResUNet
Land Cover Semantic Segmentation Using ResUNet
Vasilis Pollatos
Loukas Kouvaras
E. Charou
SSeg
9
6
0
13 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
Training general representations for remote sensing using in-domain
  knowledge
Training general representations for remote sensing using in-domain knowledge
Maxim Neumann
André Susano Pinto
Xiaohua Zhai
N. Houlsby
23
19
0
30 Sep 2020
A Comparative Study of Deep Learning Loss Functions for Multi-Label
  Remote Sensing Image Classification
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification
Hichame Yessou
Gencer Sumbul
Begüm Demir
19
31
0
29 Sep 2020
Deep Neural Networks for automatic extraction of features in time series
  satellite images
Deep Neural Networks for automatic extraction of features in time series satellite images
Gael Kamdem De Teyou
Y. Tarabalka
I. Manighetti
R. Almar
S. Tripod
22
2
0
17 Aug 2020
The color out of space: learning self-supervised representations for
  Earth Observation imagery
The color out of space: learning self-supervised representations for Earth Observation imagery
Stefano Vincenzi
Angelo Porrello
Pietro Buzzega
Marco Cipriano
Pietro Fronte
Roberto Cuccu
C. Ippoliti
A. Conte
Simone Calderara
SSL
26
63
0
22 Jun 2020
SatImNet: Structured and Harmonised Training Data for Enhanced Satellite
  Imagery Classification
SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification
V. Syrris
O. Pešek
P. Soille
17
8
0
18 Jun 2020
Multi-level Feature Fusion-based CNN for Local Climate Zone
  Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42
  Dataset
Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset
C. Qiu
Xiaochong Tong
M. Schmitt
B. Bechtel
Xiaoxiang Zhu
22
54
0
16 May 2020
Remote Sensing Image Scene Classification Meets Deep Learning:
  Challenges, Methods, Benchmarks, and Opportunities
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
Gong Cheng
Xingxing Xie
Junwei Han
Lei Guo
Guisong Xia
VLM
41
623
0
03 May 2020
Segmentation of Satellite Imagery using U-Net Models for Land Cover
  Classification
Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification
Priit Ulmas
I. Liiv
32
79
0
05 Mar 2020
A framework for large-scale mapping of human settlement extent from
  Sentinel-2 images via fully convolutional neural networks
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks
C. Qiu
M. Schmitt
Christian Gei
T. Chen
Xiaoxiang Zhu
14
58
0
31 Jan 2020
BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding
Gencer Sumbul
Jian Kang
Tristan Kreuziger
F. Marcelino
H. Costa
P. Benevides
M. Caetano
Begüm Demir
24
34
0
17 Jan 2020
Spotting insects from satellites: modeling the presence of Culicoides
  imicola through Deep CNNs
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs
Stefano Vincenzi
Angelo Porrello
Pietro Buzzega
A. Conte
C. Ippoliti
L. Candeloro
A. D. Lorenzo
A. C. Dondona
Simone Calderara
15
12
0
22 Nov 2019
In-domain representation learning for remote sensing
In-domain representation learning for remote sensing
Maxim Neumann
André Susano Pinto
Xiaohua Zhai
N. Houlsby
SSL
29
62
0
15 Nov 2019
Conditional Denoising of Remote Sensing Imagery Using Cycle-Consistent
  Deep Generative Models
Conditional Denoising of Remote Sensing Imagery Using Cycle-Consistent Deep Generative Models
M. Zotov
Jevgenij Gamper
DiffM
10
4
0
31 Oct 2019
Apache Spark Accelerated Deep Learning Inference for Large Scale
  Satellite Image Analytics
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics
D. Lunga
Jonathan Gerrand
Lexie Yang
Chris Layton
R. Stewart
32
30
0
08 Aug 2019
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral
  Sentinel-1/2 Imagery for Deep Learning and Data Fusion
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion
M. Schmitt
Lloyd H. Hughes
C. Qiu
Xiaoxiang Zhu
19
254
0
18 Jun 2019
BreizhCrops: A Time Series Dataset for Crop Type Mapping
BreizhCrops: A Time Series Dataset for Crop Type Mapping
M. Rußwurm
Charlotte Pelletier
Maximilian Zollner
Sébastien Lefèvre
Marco Korner
AI4TS
29
72
0
28 May 2019
A Novel Multi-Attention Driven System For Multi-Label Remote Sensing
  Image Classification
A Novel Multi-Attention Driven System For Multi-Label Remote Sensing Image Classification
Gencer Sumbul
Begüm Demir
20
34
0
28 Feb 2019
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