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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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06/01/2023
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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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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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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01/17/2022
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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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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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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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
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding
This paper presents a new large-scale multi-label Sentinel-2 benchmark a...
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01/18/2019
Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery
Fine-grained object recognition concerns the identification of the type ...
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12/09/2017
