Defense against adversarial cloud attack on remote sensing salient object detection
Detecting the salient objects in a remote sensing image has wide applications. Many
existing deep learning methods have been proposed for Salient Object Detection (SOD) in …
existing deep learning methods have been proposed for Salient Object Detection (SOD) in …
Leveraging mayfly optimization with deep learning for secure remote sensing scene image classification
M Ragab - Computers and Electrical Engineering, 2023 - Elsevier
Current advancement in satellite sensor and remote sensing image (RSI) technologies
allows high-resolution RSI, which provide spatial information about the world. In these …
allows high-resolution RSI, which provide spatial information about the world. In these …
Explaining the effects of clouds on remote sensing scene classification
Most of Earth is covered by haze or clouds, impeding the constant monitoring of our planet.
Preceding works have documented the detrimental effects of cloud coverage on remote …
Preceding works have documented the detrimental effects of cloud coverage on remote …
MDCNet: A Multi-platform Distributed Collaborative Network for Object Detection in Remote Sensing Imagery
With the recent development of remote sensing (RS) technology, the amount of RS platforms
has witnessed a substantial increase, and the capacity of Earth observation has been …
has witnessed a substantial increase, and the capacity of Earth observation has been …
Domain adaptive remote sensing scene recognition via semantic relationship knowledge transfer
Scene recognition has attracted rising attentions of many researchers in the remote sensing
fields, owing to the rapidly advancing of remote sensing devices in recent years. However …
fields, owing to the rapidly advancing of remote sensing devices in recent years. However …
UHD Aerial Photograph Categorization by Leveraging Deep Multiattribute Matrix Factorization
L Zhang, G Wang, Z Wang, Y Feng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
There are thousands of observation satellites orbiting the Earth, each of which captures
massive-scale photographs covering millions of square kilometers everyday. In practice …
massive-scale photographs covering millions of square kilometers everyday. In practice …
Self-supervised convolutional neural network via spectral attention module for hyperspectral image classification
H Huang, L Luo, C Pu - IEEE Geoscience and Remote Sensing …, 2022 - ieeexplore.ieee.org
Hyperspectral image (HSI) classification is a hot topic in the field of remote sensing, and
convolutional neural networks (CNNs) have shown good classification performance …
convolutional neural networks (CNNs) have shown good classification performance …
Bidirectional flow decision tree for reliable remote sensing image scene classification
J Feng, D Wang, Z Gu - Remote Sensing, 2022 - mdpi.com
Remote sensing image scene classification (RSISC), which aims to classify scene
categories for remote sensing imagery, has broad applications in various fields. Recent …
categories for remote sensing imagery, has broad applications in various fields. Recent …
An evaluation of pre-trained models for feature extraction in image classification
ES Puls, MV Todescato, JL Carbonera - arXiv preprint arXiv:2310.02037, 2023 - arxiv.org
In recent years, we have witnessed a considerable increase in performance in image
classification tasks. This performance improvement is mainly due to the adoption of deep …
classification tasks. This performance improvement is mainly due to the adoption of deep …
Mining hierarchical information of CNNs for scene classification of VHR remote sensing images
Scene classification of very high resolution (VHR) images is an active research subject in
remote sensing community, and it has provided data or decision supports for many practical …
remote sensing community, and it has provided data or decision supports for many practical …