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Geographical Knowledge-driven Representation Learning for Remote Sensing
  Images

Geographical Knowledge-driven Representation Learning for Remote Sensing Images

12 July 2021
Wenyuan Li
Keyan Chen
Hao Chen
Zhenwei Shi
    SSL
ArXivPDFHTML

Papers citing "Geographical Knowledge-driven Representation Learning for Remote Sensing Images"

31 / 31 papers shown
Title
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval
Shabnam Choudhury
Yash Salunkhe
Sarthak Mehrotra
Biplab Banerjee
34
0
0
04 Apr 2025
A Survey on Remote Sensing Foundation Models: From Vision to Multimodality
A Survey on Remote Sensing Foundation Models: From Vision to Multimodality
Ziyue Huang
Hongxi Yan
Qiqi Zhan
Shuai Yang
Mingming Zhang
Chenkai Zhang
Yiming Lei
Zeming Liu
Qingjie Liu
Y. Wang
42
0
0
28 Mar 2025
DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding
DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding
Keyan Chen
Chenyang Liu
Bowen Chen
Wenyuan Li
Zhengxia Zou
Zhenwei Shi
39
2
0
20 Mar 2025
RS-vHeat: Heat Conduction Guided Efficient Remote Sensing Foundation Model
RS-vHeat: Heat Conduction Guided Efficient Remote Sensing Foundation Model
Huiyang Hu
Peijin Wang
Hanbo Bi
Boyuan Tong
Z. Wang
...
Ziqi Zhang
QiXiang Ye
Kun Fu
Xian Sun
Xian Sun
98
0
0
27 Nov 2024
Contrastive ground-level image and remote sensing pre-training improves
  representation learning for natural world imagery
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery
Andy V. Huynh
Lauren E. Gillespie
Jael Lopez-Saucedo
Claire Tang
Rohan Sikand
Moisés Expósito-Alonso
SSL
30
5
0
28 Sep 2024
A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing
  pre-training method based on anchor-aware masked autoencoder
A2^{2}2-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder
Lixian Zhang
Yi Zhao
Runmin Dong
Jinxiao Zhang
Shuai Yuan
...
Weijia Li
Wei Liu
Wayne Zhang
Litong Feng
H. Fu
31
4
0
12 Jun 2024
Multi-Label Guided Soft Contrastive Learning for Efficient Earth
  Observation Pretraining
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining
Yi Wang
C. Albrecht
Xiao Xiang Zhu
30
6
0
30 May 2024
MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor
  and Connector
MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor and Connector
Junbo Li
Keyan Chen
Gengju Tian
Lu Li
Z. Shi
39
1
0
05 Apr 2024
MTP: Advancing Remote Sensing Foundation Model via Multi-Task
  Pretraining
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
Di Wang
Jing Zhang
Minqiang Xu
Lin Liu
Dongsheng Wang
...
Chengxi Han
Haonan Guo
Bo Du
Dacheng Tao
L. Zhang
29
44
0
20 Mar 2024
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
Casper Fibaek
Luke Camilleri
Andreas Luyts
Nikolaos Dionelis
B. L. Saux
26
16
0
09 Jan 2024
C-SAW: Self-Supervised Prompt Learning for Image Generalization in
  Remote Sensing
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing
Avigyan Bhattacharya
Mainak Singha
Ankit Jha
Biplab Banerjee
SSL
VLM
19
6
0
27 Nov 2023
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image
  Understanding
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding
Mingming Zhang
Qingjie Liu
Yunhong Wang
22
5
0
28 Sep 2023
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of
  Challenges and Advances
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances
Xiangrong Zhang
Tianyang Zhang
Guanchun Wang
Peng Zhu
Xu Tang
Xiuping Jia
Licheng Jiao
ObjD
33
46
0
13 Sep 2023
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation
  based on Visual Foundation Model
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model
Keyan Chen
Chenyang Liu
Hao Chen
Haotian Zhang
Wenyuan Li
Zhengxia Zou
Z. Shi
VLM
16
200
0
28 Jun 2023
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
F. Liu
Delong Chen
Zhan-Rong Guan
Xiaocong Zhou
Jiale Zhu
Qiaolin Ye
Liyong Fu
Jun Zhou
VLM
68
190
0
19 Jun 2023
Vision-Language Models in Remote Sensing: Current Progress and Future
  Trends
Vision-Language Models in Remote Sensing: Current Progress and Future Trends
Xiang Li
Congcong Wen
Yuan Hu
Zhenghang Yuan
Xiao Xiang Zhu
VLM
16
71
0
09 May 2023
CSP: Self-Supervised Contrastive Spatial Pre-Training for
  Geospatial-Visual Representations
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
Gengchen Mai
Ni Lao
Yutong He
Jiaming Song
Stefano Ermon
78
58
0
01 May 2023
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing
  Image Understanding
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding
Dilxat Muhtar
Xue-liang Zhang
P. Xiao
Zhenshi Li
Feng-Xue Gu
SSL
29
48
0
19 Apr 2023
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using
  geographical coordinates
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates
V. Marsocci
Nicolas Gonthier
A. Garioud
Simone Scardapane
Clement Mallet
17
11
0
16 Apr 2023
Advancing Plain Vision Transformer Towards Remote Sensing Foundation
  Model
Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model
Di Wang
Qiming Zhang
Yufei Xu
Jing Zhang
Bo Du
Dacheng Tao
L. Zhang
23
242
0
08 Aug 2022
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral
  Satellite Imagery
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Yezhen Cong
Samarth Khanna
Chenlin Meng
Patrick Liu
Erik Rozi
Yutong He
Marshall Burke
David B. Lobell
Stefano Ermon
ViT
17
246
0
17 Jul 2022
Consecutive Pretraining: A Knowledge Transfer Learning Strategy with
  Relevant Unlabeled Data for Remote Sensing Domain
Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain
Tong Zhang
Peng Gao
Hao-Chen Dong
Zhuang Yin
Guanqun Wang
Wei Zhang
He Chen
20
33
0
08 Jul 2022
Self-supervised Learning in Remote Sensing: A Review
Self-supervised Learning in Remote Sensing: A Review
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
14
217
0
27 Jun 2022
DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors
  for Change Detection
DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection
W. G. C. Bandara
Nithin Gopalakrishnan Nair
Vishal M. Patel
DiffM
16
4
0
23 Jun 2022
Semantic-aware Dense Representation Learning for Remote Sensing Image
  Change Detection
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
Hao Chen
Wenyuan Li
Songhang Chen
Zhenwei Shi
15
38
0
27 May 2022
Continual Barlow Twins: continual self-supervised learning for remote
  sensing semantic segmentation
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
V. Marsocci
Simone Scardapane
CLL
24
25
0
23 May 2022
An Empirical Study of Remote Sensing Pretraining
An Empirical Study of Remote Sensing Pretraining
Di Wang
Jing Zhang
Bo Du
Guisong Xia
Dacheng Tao
EDL
23
190
0
06 Apr 2022
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,367
0
09 Mar 2020
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow
  to Deep (Overview and Toolbox)
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)
Behnood Rasti
Danfeng Hong
Renlong Hang
Pedram Ghamisi
Xudong Kang
Jocelyn Chanussot
J. Benediktsson
47
403
0
05 Mar 2020
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
137
127
0
13 Jun 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,275
0
06 Mar 2017
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