A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images
Authors
Keywords
-
Journal
Remote Sensing
Volume 14, Issue 18, Pages 4631
Publisher
MDPI AG
Online
2022-09-19
DOI
10.3390/rs14184631
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Semantic Segmentation and Edge Detection—Approach to Road Detection in Very High Resolution Satellite Images
- (2022) Hamza Ghandorh et al. Remote Sensing
- Symmetric Image Encryption Algorithm Based on a New Product Trigonometric Chaotic Map
- (2022) Qing Lu et al. Symmetry-Basel
- Identifying wetland areas in historical maps using deep convolutional neural networks
- (2022) Niclas Ståhl et al. Ecological Informatics
- Using Web images to train a deep neural network to detect sparsely distributed wildlife in large volumes of remotely sensed imagery: A case study of polar bears on sea ice
- (2022) Dominique Chabot et al. Ecological Informatics
- Visually asymmetric image encryption algorithm based on SHA-3 and compressive sensing by embedding encrypted image
- (2022) Xiaoling Huang et al. Alexandria Engineering Journal
- Fixed Urgent Window Pass for a Wireless Network with User Preferences
- (2021) Hani Alquhayz et al. WIRELESS PERSONAL COMMUNICATIONS
- An Efficient Approach Based on Privacy-Preserving Deep Learning for Satellite Image Classification
- (2021) Munirah Alkhelaiwi et al. Remote Sensing
- Intelligent algorithms and complex system for a smart parking for vaccine delivery center of COVID-19
- (2021) Mahdi Jemmali Complex & Intelligent Systems
- Identifying plants under natural gas micro-leakage stress using hyperspectral remote sensing
- (2021) Xiaoquan Pan et al. Ecological Informatics
- Determination of urban pollution islands by using remote sensing technology in Moscow, Russia
- (2021) Natalia Bakaeva et al. Ecological Informatics
- Deep learning in environmental remote sensing: Achievements and challenges
- (2020) Qiangqiang Yuan et al. REMOTE SENSING OF ENVIRONMENT
- Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics
- (2020) Alexander Wood et al. ACM COMPUTING SURVEYS
- Privacy enhancing technologies for solving the privacy-personalization paradox: Taxonomy and survey
- (2020) Nesrine Kaaniche et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Privacy-Preserving Machine Learning: Threats and Solutions
- (2019) Mohammad Al-Rubaie et al. IEEE SECURITY & PRIVACY
- Privacy-preserving cloud computing on sensitive data: A survey of methods, products and challenges
- (2019) Josep Domingo-Ferrer et al. COMPUTER COMMUNICATIONS
- A comparative study of deep learning architectures on melanoma detection
- (2019) Sara Hosseinzadeh Kassani et al. TISSUE & CELL
- A review of privacy-preserving techniques for deep learning
- (2019) Amine Boulemtafes et al. NEUROCOMPUTING
- A Survey on Homomorphic Encryption Schemes
- (2018) Abbas Acar et al. ACM COMPUTING SURVEYS
- Sensitivity analysis approach to model epistemic and aleatory imperfection: Application to Land Cover Change prediction model
- (2017) Wadii Boulila et al. Journal of Computational Science
- Chaotic substitution for highly autocorrelated data in encryption algorithm
- (2014) Amir Anees et al. Communications in Nonlinear Science and Numerical Simulation
- A comprehensive assessment of the structural similarity index
- (2009) Richard Dosselmann et al. Signal Image and Video Processing
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More