ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1612.08879
  4. Cited By
MARTA GANs: Unsupervised Representation Learning for Remote Sensing
  Image Classification
v1v2v3 (latest)

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

IEEE Geoscience and Remote Sensing Letters (GRSL), 2016
28 December 2016
Daoyu Lin
Kun Fu
Yang Wang
Guangluan Xu
Xian Sun
    GAN
ArXiv (abs)PDFHTML

Papers citing "MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification"

33 / 33 papers shown
Title
GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical
  Imaging
GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imaging
Sarthak Pati
Szymon Mazurek
Spyridon Bakas
MedIm
105
0
0
30 Sep 2024
Prediction of Transportation Index for Urban Patterns in Small and
  Medium-sized Indian Cities using Hybrid RidgeGAN Model
Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN ModelScientific Reports (Sci Rep), 2023
Rahisha Thottolil
U. Kumar
Tanujit Chakraborty
183
7
0
09 Jun 2023
Creating Ensembles of Classifiers through UMDA for Aerial Scene
  Classification
Creating Ensembles of Classifiers through UMDA for Aerial Scene ClassificationAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023
F. Faria
Luiz H. Buris
Luís A. M. Pereira
F. Cappabianco
81
0
0
20 Mar 2023
Intriguing Property and Counterfactual Explanation of GAN for Remote
  Sensing Image Generation
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image GenerationInternational Journal of Computer Vision (IJCV), 2023
Xingzhe Su
Jingyao Wang
Jie Hu
Feng Wu
Changwen Zheng
Gang Hua
GAN
198
7
0
09 Mar 2023
Self-Supervised In-Domain Representation Learning for Remote Sensing
  Image Scene Classification
Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification
Ali Ghanbarzade
Hossein Soleimani
SSL
128
14
0
03 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for
  Unsupervised Reinforcement Learning
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning
Darshita Jain
A. Majumder
S. Dutta
Swagat Kumar
SSL
206
1
0
31 Jan 2023
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with
  Style-based Wavelet-driven Generative Models
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative ModelsHellenic Conference on Artificial Intelligence (HAI), 2022
Nikos Kostagiolas
M. Nicolaou
Yannis Panagakis
GAN
184
2
0
03 Aug 2022
Image Augmentation for Satellite Images
Image Augmentation for Satellite Images
Oluwadara Adedeji
Peter Owoade
Op Ajayi
Olayiwola F Arowolo
112
14
0
29 Jul 2022
RENs: Relevance Encoding Networks
RENs: Relevance Encoding Networks
Krithika S. Iyer
Riddhish Bhalodia
Shireen Y. Elhabian
DRL
186
1
0
25 May 2022
All Grains, One Scheme (AGOS): Learning Multi-grain Instance
  Representation for Aerial Scene Classification
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene ClassificationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Qi Bi
Beichen Zhou
K. Qin
Qinghao Ye
Guisong Xia
171
47
0
06 May 2022
Evaluating Self and Semi-Supervised Methods for Remote Sensing
  Segmentation Tasks
Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks
Chaitanya Patel
Shashank Sharma
Valerie J. Pasquarella
Varun Gulshan
SSL
153
18
0
19 Nov 2021
A review of Generative Adversarial Networks (GANs) and its applications
  in a wide variety of disciplines -- From Medical to Remote Sensing
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing
Ankan Dash
J. Ye
Guiling Wang
MedImAI4CE
152
134
0
01 Oct 2021
Exploiting generative self-supervised learning for the assessment of
  biological images with lack of annotations: a COVID-19 case-study
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-studyBMC Bioinformatics (BMC Bioinformatics), 2021
Alessio Mascolini
Dario Cardamone
Francesco Ponzio
S. D. Cataldo
E. Ficarra
MedIm
121
18
0
16 Jul 2021
Calibrating Over-Parametrized Simulation Models: A Framework via
  Eligibility Set
Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set
Yuanlu Bai
T. Balch
Haoxian Chen
Danial Dervovic
Henry Lam
Svitlana Vyetrenko
172
2
0
27 May 2021
A Review on Deep Learning in UAV Remote Sensing
A Review on Deep Learning in UAV Remote SensingInternational Journal of Applied Earth Observation and Geoinformation (JAEOG), 2021
L. Osco
J. M. Junior
A. P. Ramos
L. Jorge
S. Fatholahi
J. Silva
E. Matsubara
H. Pistori
W. Gonçalves
Jonathan Li
AI4Cl
306
420
0
22 Jan 2021
Transformers in Vision: A Survey
Transformers in Vision: A SurveyACM Computing Surveys (CSUR), 2021
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
Fahad Shahbaz Khan
M. Shah
ViT
802
3,078
0
04 Jan 2021
Generating Synthetic Multispectral Satellite Imagery from Sentinel-2
Generating Synthetic Multispectral Satellite Imagery from Sentinel-2
Tharun Mohandoss
Aditya Kulkarni
Daniel Northrup
Ernest Mwebaze
Hamed Alemohammad
63
13
0
05 Dec 2020
DML-GANR: Deep Metric Learning With Generative Adversarial Network
  Regularization for High Spatial Resolution Remote Sensing Image Retrieval
DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval
Yun Cao
Yuebin Wang
Junhuan Peng
Liqiang Zhang
Linlin Xu
Kai Yan
Lihua Li
GAN
148
23
0
07 Oct 2020
Remote Sensing Image Scene Classification with Self-Supervised Paradigm
  under Limited Labeled Samples
Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled SamplesIEEE Geoscience and Remote Sensing Letters (GRSL), 2020
Chao Tao
Ji Qi
Weipeng Lu
Hao Wang
Haifeng Li
SSL
150
108
0
02 Oct 2020
Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection
  in SAR Images
Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images
Tianwen Zhang
Xiaoling Zhang
Jun Shi
Shunjun Wei
Jianguo Wang
Jianwei Li
Hao Su
Yue Zhou
98
67
0
21 Jul 2020
Vehicle Detection of Multi-source Remote Sensing Data Using Active
  Fine-tuning Network
Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning NetworkIsprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2020
Xin Wu
Wei Li
Danfeng Hong
Jiaojiao Tian
R. Tao
Q. Du
115
57
0
16 Jul 2020
Remote Sensing Image Scene Classification with Deep Neural Networks in
  JPEG 2000 Compressed Domain
Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain
Akshara Preethy Byju
Gencer Sumbul
Begüm Demir
Lorenzo Bruzzone
157
21
0
20 Jun 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 OpportunitiesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-STARS), 2020
Gong Cheng
Xingxing Xie
Junwei Han
Lei Guo
Guisong Xia
VLM
222
730
0
03 May 2020
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For
  Vegetation Recognition From Hyperspectral Imagery
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Vegetation Recognition From Hyperspectral Imagery
Yue Shi
Liangxiu Han
Wenjiang Huang
Sheng Chang
Yingying Dong
Darren Dancey
Lianghao Han
146
2
0
19 Apr 2020
Is Discriminator a Good Feature Extractor?
Is Discriminator a Good Feature Extractor?
Xin Mao
Zhaoyu Su
P. S. Tan
J. Chow
Yu-Hsing Wang
93
14
0
02 Dec 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
179
73
0
15 Nov 2019
Conditional Generative Adversarial Networks for Data Augmentation and
  Adaptation in Remotely Sensed Imagery
Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery
J. Howe
Kyle Pula
Aaron A. Reite
GAN
203
20
0
10 Aug 2019
Augmenting correlation structures in spatial data using deep generative
  models
Augmenting correlation structures in spatial data using deep generative models
Konstantin Klemmer
Adriano Soares Koshiyama
Sebastian Flennerhag
224
24
0
23 May 2019
An End-to-End Joint Unsupervised Learning of Deep Model and
  Pseudo-Classes for Remote Sensing Scene Representation
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene RepresentationIEEE International Joint Conference on Neural Network (IJCNN), 2019
Z. Gong
P. Zhong
Weidong Hu
Fang Liu
Bingwei Hui
SSL3DPC
143
2
0
18 Mar 2019
Learning to Clean: A GAN Perspective
Learning to Clean: A GAN Perspective
Monika Sharma
Abhishek Verma
Lovekesh Vig
94
28
0
28 Jan 2019
Deep Learning Approach for Building Detection in Satellite Multispectral
  Imagery
Deep Learning Approach for Building Detection in Satellite Multispectral Imagery
Geesara Prathap
Ilya M. Afanasyev
104
55
0
10 Nov 2018
Unsupervised Deep Features for Remote Sensing Image Matching via
  Discriminator Network
Unsupervised Deep Features for Remote Sensing Image Matching via Discriminator Network
Fnu Mohbat
Numan Khurshid
M. Taj
147
16
0
15 Oct 2018
SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote
  Sensing Image Scene Classification Baseline in vitro
SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro
Dongao Ma
Ping Tang
Lijun Zhao
GAN
100
82
0
13 Sep 2018
1