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07/04/2023
Ben-ge: Extending BigEarthNet with Geographical and Environmental Data
Deep learning methods have proven to be a powerful tool in the analysis ...
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06/20/2023
Annotation Cost Efficient Active Learning for Content Based Image Retrieval
Deep metric learning (DML) based methods have been found very effective ...
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06/14/2023
Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing
Due to the publicly available thematic maps and crowd-sourced data, remo...
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06/12/2023
Active Learning Guided Fine-Tuning for enhancing Self-Supervised Based Multi-Label Classification of Remote Sensing Images
In recent years, deep neural networks (DNNs) have been found very succes...
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06/02/2023
Transformer-based Multi-Modal Learning for Multi Label Remote Sensing Image Classification
In this paper, we introduce a novel Synchronized Class Token Fusion (SCT...
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06/01/2023
Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning
The development of federated learning (FL) methods, which aim to learn f...
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06/01/2023
LiT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing
Visual question answering (VQA) methods in remote sensing (RS) aim to an...
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06/01/2023
HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods
The development of learning-based hyperspectral image compression method...
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05/15/2023
Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images
Deep learning-based image compression methods have led to high rate-dist...
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05/15/2023
Artificial intelligence to advance Earth observation: a perspective
Earth observation (EO) is a prime instrument for monitoring land and oce...
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12/02/2022
Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning in Remote Sensing
The development of deep learning based image representation learning (IR...
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12/02/2022
Deep Active Learning for Multi-Label Classification of Remote Sensing Images
The use of deep neural networks (DNNs) has recently attracted great atte...
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10/10/2022
Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing
With the new generation of satellite technologies, the archives of remot...
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10/05/2022
Advanced Deep Learning Architectures for Accurate Detection of Subsurface Tile Drainage Pipes from Remote Sensing Images
Subsurface tile drainage pipes provide agronomic, economic and environme...
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08/23/2022
Satellite Image Search in AgoraEO
The growing operational capability of global Earth Observation (EO) crea...
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07/28/2022
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification
The development of accurate methods for multi-label classification (MLC)...
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04/19/2022
Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing
The development of cross-modal retrieval systems that can search and ret...
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04/10/2022
Coreset of Hyperspectral Images on Small Quantum Computer
Machine Learning (ML) techniques are employed to analyze and process big...
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02/26/2022
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing
The development of accurate and scalable cross-modal image-text retrieva...
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02/23/2022
A Novel Self-Supervised Cross-Modal Image Retrieval Method In Remote Sensing
Due to the availability of multi-modal remote sensing (RS) image archive...
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02/23/2022
Deep Metric Learning-Based Semi-Supervised Regression With Alternate Learning
This paper introduces a novel deep metric learning-based semi-supervised...
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01/20/2022
Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing
Due to the availability of large-scale multi-modal data (e.g., satellite...
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01/19/2022
Weakly Supervised Semantic Segmentation of Remote Sensing Images for Tree Species Classification Based on Explanation Methods
The collection of a high number of pixel-based labeled training samples ...
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01/17/2022
A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-Based Retrieval
Remote sensing (RS) images are usually stored in compressed format to re...
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06/01/2021
A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval
This paper presents a novel graph-theoretic deep representation learning...
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05/17/2021
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval
This paper presents the multi-modal BigEarthNet (BigEarthNet-MM) benchma...
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05/12/2021
A Novel Uncertainty-aware Collaborative Learning Method for Remote Sensing Image Classification Under Multi-Label Noise
In remote sensing (RS), collecting a large number of reliable training i...
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05/08/2021
A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval
Learning the similarity between remote sensing (RS) images forms the fou...
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12/19/2020
CCML: A Novel Collaborative Learning Model for Classification of Remote Sensing Images with Noisy Multi-Labels
The development of accurate methods for multi-label classification (MLC)...
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09/29/2020
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification
This paper analyzes and compares different deep learning loss functions ...
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06/20/2020
Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain
To reduce the storage requirements, remote sensing (RS) images are usual...
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06/15/2020
SD-RSIC: Summarization Driven Deep Remote Sensing Image Captioning
Deep neural networks (DNNs) have been recently found popular for image c...
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04/03/2020
Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives
This chapter presents recent advances in content based image search and ...
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03/06/2020
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration
Interferometric phase restoration has been investigated for decades and ...
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01/17/2020
BigEarthNet Deep Learning Models with A New Class-Nomenclature for Remote Sensing Image Understanding
Success of deep neural networks in the framework of remote sensing (RS) ...
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12/12/2019
An Approach to Super-Resolution of Sentinel-2 Images Based on Generative Adversarial Networks
This paper presents a Generative Adversarial Network based super-resolut...
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04/02/2019
Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images
Hashing methods have been recently found very effective in retrieval of ...
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02/28/2019
A CNN-RNN Framework with a Novel Patch-Based Multi-Attention Mechanism for Multi-Label Image Classification in Remote Sensing
This paper presents a novel framework that jointly exploits Convolutiona...
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02/16/2019
