A literature review on remote sensing scene categorization based on convolutional neural networks
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2023.2204200
Abstract: ABSTRACT Remote sensing scene categorization (RSSC) is a long-standing, vital, and complex issue in computer vision. It seeks to classify a scene into one of the predetermined scene groups by analysing the entire image. The… read more here.
Keywords: scene categorization; neural networks; remote sensing; sensing scene ... See more keywords
Aggregated Deep Fisher Feature for VHR Remote Sensing Scene Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2934165
Abstract: With the development of very high resolution satellite image acquisition technology, remote sensing scene classification has become an important and challenging task. In this article, aiming at tackling this task, we propose a hybrid architecture,… read more here.
Keywords: remote sensing; deep fisher; scene classification; sensing scene ... See more keywords
A Deep Neural Network Combined CNN and GCN for Remote Sensing Scene Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3011333
Abstract: Learning powerful discriminative features is the key for remote sensing scene classification. Most existing approaches based on convolutional neural network (CNN) have achieved great results. However, they mainly focus on global-based visual features while ignoring… read more here.
Keywords: remote sensing; scene classification; scene; sensing scene ... See more keywords
A Distance-Constrained Semantic Autoencoder for Zero-Shot Remote Sensing Scene Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3132189
Abstract: Zero-shot remote sensing scene classification refers to the classification of new images from unseen scene classes and has become a topic of growing interest in the field of remote sensing. Semantic autoencoders are one of… read more here.
Keywords: sensing scene; zero shot; remote sensing; scene ... See more keywords
GCSANet: A Global Context Spatial Attention Deep Learning Network for Remote Sensing Scene Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3141826
Abstract: Deep convolutional neural networks have become an indispensable method in remote sensing image scene classification because of their powerful feature extraction capabilities. However, the ability of the models to extract multiscale features and global features… read more here.
Keywords: sensing scene; gcsanet; classification; remote sensing ... See more keywords
First and Second-Order Information Fusion Networks for Remote Sensing Scene Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3090045
Abstract: Deep convolutional networks have been the most competitive method in remote sensing scene classification. Due to the diversity and complexity of scene content, remote sensing scene classification still remains a challenging task. Recently, the second-order… read more here.
Keywords: classification; order; second order; remote sensing ... See more keywords
Cosine Margin Prototypical Networks for Remote Sensing Scene Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3098515
Abstract: In practical applications, remote-sensing scene classification tasks generally exhibit data shift problems. In this situation, images have large data discrepancies, leading to diffused features and performance degradation. To address the data shift problem, we propose… read more here.
Keywords: cosine margin; scene classification; remote sensing; sensing scene ... See more keywords
Better Visual Interpretation for Remote Sensing Scene Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3132920
Abstract: Deep learning-based methods have been widely applied in remote sensing scene classification tasks. Recently, researchers focus more on clarifying the basis of a decision. For example, class activation mapping (CAM) can provide us the evidence… read more here.
Keywords: scene classification; remote sensing; classification; sensing scene ... See more keywords
Pairwise Comparison Network for Remote-Sensing Scene Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3139695
Abstract: Remote-sensing scene classification aims to assign a specific semantic label to a remote-sensing image. Recently, convolutional neural networks (CNNs) have greatly improved the performance of remote-sensing scene classification. However, some confused images may be easily… read more here.
Keywords: network; scene classification; remote sensing; sensing scene ... See more keywords
Remote Sensing Scene Classification by Local–Global Mutual Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3150801
Abstract: Remote sensing scene classification (RSSC) attempts to label an image with a specific scene category. Recently, convolutional neural networks (CNNs) have shown the powerful feature extraction capability to combine local and global features. However, both… read more here.
Keywords: scene classification; mutual learning; remote sensing; local global ... See more keywords
Recurrent Thrifty Attention Network for Remote Sensing Scene Recognition
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3042507
Abstract: The self-attention mechanism has been empirically shown its effectiveness in a wide range of computer vision applications. However, it is usually criticized for the expensive computation cost. Although some revised methods are proposed in the… read more here.
Keywords: recurrent thrifty; remote sensing; attention; sensing scene ... See more keywords