Improved SinGAN Integrated with an Attentional Mechanism for Remote Sensing Image Classification

Improved SinGAN Integrated with an Attentional Mechanism for Remote Sensing Image Classification

Deep learning is an important research method in the remote sensing field. However, samples of remote sensing images are relatively few in real life, and those with markers are scarce. Many neural networks represented by Generative Adversarial Networks (GANs) can learn from real samples to generate...

Full description

Bibliographic Details
Main Authors:	Songwei Gu, Rui Zhang, Hongxia Luo, Mengyao Li, Huamei Feng, Xuguang Tang
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Series:	Remote Sensing
Subjects:	generative adversarial network attention mechanism deep learning remote sensing image scene classification
Online Access:	https://www.mdpi.com/2072-4292/13/9/1713

Similar Items

Generating high-resolution climatological precipitation data using SinGAN
by: Yang Wang, et al.
Published: (2022-11-01)

A Multiscale Attention Network for Remote Sensing Scene Images Classification
by: Guokai Zhang, et al.
Published: (2021-01-01)

SEMSDNet: A Multiscale Dense Network With Attention for Remote Sensing Scene Classification
by: Tian Tian, et al.
Published: (2021-01-01)

Generating Adversarial Examples Against Remote Sensing Scene Classification via Feature Approximation
by: Rui Zhu, et al.
Published: (2024-01-01)

Self-Supervised GANs With Similarity Loss for Remote Sensing Image Scene Classification
by: Dongen Guo, et al.
Published: (2021-01-01)

Adversarial Remote Sensing Scene Classification Based on Lie Group Feature Learning
by: Chengjun Xu, et al.
Published: (2023-02-01)

A Dual-Model Architecture with Grouping-Attention-Fusion for Remote Sensing Scene Classification
by: Junge Shen, et al.
Published: (2021-01-01)

Channel-Attention-Based DenseNet Network for Remote Sensing Image Scene Classification
by: Wei Tong, et al.
Published: (2020-01-01)

Relation-Attention Networks for Remote Sensing Scene Classification
by: Xin Wang, et al.
Published: (2022-01-01)

Targeted Universal Adversarial Examples for Remote Sensing
by: Tao Bai, et al.
Published: (2022-11-01)

Generative Adversarial Networks for Zero-Shot Remote Sensing Scene Classification
by: Zihao Li, et al.
Published: (2022-04-01)

Hierarchical Attention and Bilinear Fusion for Remote Sensing Image Scene Classification
by: Donghang Yu, et al.
Published: (2020-01-01)

Attention-Aware Deep Feature Embedding for Remote Sensing Image Scene Classification
by: Xiaoning Chen, et al.
Published: (2023-01-01)

Plant leaf disease recognition based on improved SinGAN and improved ResNet34
by: Jiaojiao Chen, et al.
Published: (2024-06-01)

A Novel Pressure Relief Hole Recognition Method of Drilling Robot Based on SinGAN and Improved Faster R-CNN
by: Bin Liang, et al.
Published: (2022-12-01)

GCSANet: A Global Context Spatial Attention Deep Learning Network for Remote Sensing Scene Classification
by: Weitao Chen, et al.
Published: (2022-01-01)

Remote Sensing Image Scene Classification Based on Global Self-Attention Module
by: Qingwen Li, et al.
Published: (2021-11-01)

Self-Attention Network With Joint Loss for Remote Sensing Image Scene Classification
by: Honglin Wu, et al.
Published: (2020-01-01)

Exploiting Hierarchical Label Information in an Attention-Embedding, Multi-Task, Multi-Grained, Network for Scene Classification of Remote Sensing Imagery
by: Peng Zeng, et al.
Published: (2022-08-01)

A Deformable Convolutional Neural Network with Spatial-Channel Attention for Remote Sensing Scene Classification
by: Di Wang, et al.
Published: (2021-12-01)

Attention-Based Deep Feature Fusion for the Scene Classification of High-Resolution Remote Sensing Images
by: Ruixi Zhu, et al.
Published: (2019-08-01)

Few-Shot Scene Classification With Multi-Attention Deepemd Network in Remote Sensing
by: Zhengwu Yuan, et al.
Published: (2021-01-01)

A Lightweight Convolutional Neural Network Based on Group-Wise Hybrid Attention for Remote Sensing Scene Classification
by: Cuiping Shi, et al.
Published: (2021-12-01)

Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models
by: Weikang Yu, et al.
Published: (2024-09-01)

Attention Consistent Network for Remote Sensing Scene Classification
by: Xu Tang, et al.
Published: (2021-01-01)

A Multi-Branch Feature Fusion Strategy Based on an Attention Mechanism for Remote Sensing Image Scene Classification
by: Cuiping Shi, et al.
Published: (2021-05-01)

A lightweight and stochastic depth residual attention network for remote sensing scene classification
by: Xinyu Wang, et al.
Published: (2023-09-01)

A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification
by: Lingling Li, et al.
Published: (2020-07-01)

Semi-Supervised Representation Learning for Remote Sensing Image Classification Based on Generative Adversarial Networks
by: Peiyao Yan, et al.
Published: (2020-01-01)

Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention
by: Haikel Alhichri, et al.
Published: (2021-01-01)

Transformer-Based Multi-Scale Feature Remote Sensing Image Classification Model
by: Ting Sun, et al.
Published: (2025-01-01)

An Attention-Guided Multilayer Feature Aggregation Network for Remote Sensing Image Scene Classification
by: Ming Li, et al.
Published: (2021-08-01)

The GAN Spatiotemporal Fusion Model Based on Multiscale Convolution and Attention Mechanism for Remote Sensing Images
by: Youping Xie, et al.
Published: (2025-01-01)

Focal Cosine Metric and Adaptive Attention Module for Remote Sensing Scene Classification With Siamese Convolutional Neural Networks
by: Lei Min, et al.
Published: (2022-01-01)

AMN: Attention Metric Network for One-Shot Remote Sensing Image Scene Classification
by: Xirong Li, et al.
Published: (2020-12-01)

TRS: Transformers for Remote Sensing Scene Classification
by: Jianrong Zhang, et al.
Published: (2021-10-01)

Residual Dense Network Based on Channel-Spatial Attention for the Scene Classification of a High-Resolution Remote Sensing Image
by: Xiaolei Zhao, et al.
Published: (2020-06-01)

Triplet-Metric-Guided Multi-Scale Attention for Remote Sensing Image Scene Classification with a Convolutional Neural Network
by: Hong Wang, et al.
Published: (2022-06-01)

SinGAN-Seg: Synthetic training data generation for medical image segmentation
by: Vajira Thambawita, et al.
Published: (2022-01-01)

SinGAN-Seg: Synthetic training data generation for medical image segmentation.
by: Vajira Thambawita, et al.
Published: (2022-01-01)