[HTML][HTML] A novel deep nearest neighbor neural network for few-shot remote sensing image scene classification
Y Chen, Y Li, H Mao, X Chai, L Jiao - Remote Sensing, 2023 - mdpi.com
Remote sensing image scene classification has become more and more popular in recent
years. As we all know, it is very difficult and time-consuming to obtain a large number of …
years. As we all know, it is very difficult and time-consuming to obtain a large number of …
Multi-view remote sensing image scene classification by fusing multi-scale attention
Objectives Remote sensing scene classification provides new possibilities for the
application of high-resolution images, and how to effectively realize scene recognition from …
application of high-resolution images, and how to effectively realize scene recognition from …
[HTML][HTML] Seat belt detection using gated Bi-LSTM with part-to-whole attention on diagonally sampled patches
One of the high-risk behaviors leading to severe traffic injuries is not wearing a seat belt. It is
therefore very important to be able to automatically detect seat belts from surveillance …
therefore very important to be able to automatically detect seat belts from surveillance …
Mitigation of numerical dispersion in seismic data in spectral domain with neural networks
Seismic modeling has various engineering applications, including exploration seismology,
seismic monitoring of greenhouse gas sequestration, and earthquake engineering …
seismic monitoring of greenhouse gas sequestration, and earthquake engineering …
[HTML][HTML] A Novel Discriminative Enhancement Method for Few-Shot Remote Sensing Image Scene Classification
Remote sensing image scene classification (RSISC) has garnered significant attention in
recent years. Numerous methods have been put forward in an attempt to tackle this issue …
recent years. Numerous methods have been put forward in an attempt to tackle this issue …
New indicators and standards for measuring of the end mill's helical groove by image processing
The studies will be carried out using optical metrology methods on a Walter Helicheck
inspection machine in reflected light and a number of images were stored to form a statistical …
inspection machine in reflected light and a number of images were stored to form a statistical …
A new method and practical recommendations for measuring geometric accuracy, linear and angular measurements of helical surfaces of end mill for HSM
In precision engineering, helical surfaces on critical parts of equipment have become
widespread. The article proposes an new method and practical recommendations for …
widespread. The article proposes an new method and practical recommendations for …
A Framework for Token-Based Scene-Classification of Remote Sensing Images
Remote sensing images often come in very high resolutions. For instance, large images of
resolution 1000× 1000 are quite common in remote sensing applications. Thus, one key …
resolution 1000× 1000 are quite common in remote sensing applications. Thus, one key …
融合多尺度注意力的多视角遥感影像场景分类
时永欣， 周维勋， 邵振峰 - 武汉大学学报 (信息科学版), 2024 - ch.whu.edu.cn
针对现有场景分类方法特征表征能力差以及单视角遥感影像分类精度难以提升的问题,
提出一种融合多尺度注意力的多视角遥感影像场景分类方法. 首先, 将航空图像和地面图像构造 …
提出一种融合多尺度注意力的多视角遥感影像场景分类方法. 首先, 将航空图像和地面图像构造 …
Efficient Classification of Very High Resolution Images
MI Nouyed - 2024 - researchrepository.wvu.edu
In recent decades, deep learning approaches have shown significant improvement in
various image understanding tasks. However, analysis of high-resolution images remains a …
various image understanding tasks. However, analysis of high-resolution images remains a …