Classification of remote sensing images using EfficientNet-B3 CNN model with attention
Scene classification is a highly useful task in Remote Sensing (RS) applications. Many
efforts have been made to improve the accuracy of RS scene classification. Scene …
efforts have been made to improve the accuracy of RS scene classification. Scene …
Vision transformer: An excellent teacher for guiding small networks in remote sensing image scene classification
K Xu, P Deng, H Huang - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
Scene classification is an active research topic in the remote sensing community, and
complex spatial layouts with various types of objects bring huge challenges to classification …
complex spatial layouts with various types of objects bring huge challenges to classification …
Deep learning techniques for remote sensing image scene classification: A comprehensive review, current challenges, and future directions
Since last decade, deep learning has made exceptional progress in various fields of artificial
intelligence including image and voice recognition, natural language processing. Inspired …
intelligence including image and voice recognition, natural language processing. Inspired …
Homo–heterogenous transformer learning framework for RS scene classification
Remote sensing (RS) scene classification plays an essential role in the RS community and
has attracted increasing attention due to its wide applications. Recently, benefiting from the …
has attracted increasing attention due to its wide applications. Recently, benefiting from the …
Semi-supervised remote-sensing image scene classification using representation consistency siamese network
W Miao, J Geng, W Jiang - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
Deep learning has achieved excellent performance in remote-sensing image scene
classification, since a large number of datasets with annotations can be applied for training …
classification, since a large number of datasets with annotations can be applied for training …
Transformer based on channel-spatial attention for accurate classification of scenes in remote sensing image
J Guo, N Jia, J Bai - Scientific Reports, 2022 - nature.com
Recently, the scenes in large high-resolution remote sensing (HRRS) datasets have been
classified using convolutional neural network (CNN)-based methods. Such methods are well …
classified using convolutional neural network (CNN)-based methods. Such methods are well …
An attention cascade global–local network for remote sensing scene classification
Remote sensing image scene classification is an important task of remote sensing image
interpretation, which has recently been well addressed by the convolutional neural network …
interpretation, which has recently been well addressed by the convolutional neural network …
A self-training hierarchical prototype-based ensemble framework for remote sensing scene classification
Remote sensing scene classification plays a critical role in a wide range of real-world
applications. Technically, however, scene classification is an extremely challenging task due …
applications. Technically, however, scene classification is an extremely challenging task due …
WRMatch: Improving fixmatch with weighted nuclear-norm regularization for few-shot remote sensing scene classification
Y **ong, K Xu, Y Dou, Y Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Semisupervised learning (SSL), such as FixMatch, has been successfully applied to remote
sensing scene classification to relieve the burden of data annotation. However, in some …
sensing scene classification to relieve the burden of data annotation. However, in some …
Advances in deep neural network-based hyperspectral image classification and feature learning with limited samples: a survey
Advancements in sensor technologies have brought about significant improvements in the
resolution and quality of imagery by enhancing spatial, temporal, spectral, and radiometric …
resolution and quality of imagery by enhancing spatial, temporal, spectral, and radiometric …