Hyperspectral and multispectral image fusion techniques for high resolution applications: A review

D Sara, AK Mandava, A Kumar, S Duela… - Earth Science Informatics, 2021 - Springer
Hyperspectral imaging has been rapidly developing over the past decade, and modern
sensor technologies can cover large areas with exceptional spatial, spectral, and temporal …

Mapping of ecological environment based on Google earth engine cloud computing platform and landsat long-term data: A case study of the zhoushan archipelago

C Chen, L Wang, G Yang, W Sun, Y Song - Remote Sensing, 2023 - mdpi.com
In recent years, with the rapid advancement of China's urbanization, the contradiction
between urban development and the ecological environment has become increasingly …

Deep learning based methods for molecular similarity searching: a systematic review

M Nasser, UK Yusof, N Salim - Processes, 2023 - mdpi.com
In rational drug design, the concept of molecular similarity searching is frequently used to
identify molecules with similar functionalities by looking up structurally related molecules in …

Novel land cover change detection deep learning framework with very small initial samples using heterogeneous remote sensing images

Y Zhu, Q Li, Z Lv, N Falco - Remote Sensing, 2023 - mdpi.com
Change detection with heterogeneous remote sensing images (Hete-CD) plays a significant
role in practical applications, particularly in cases where homogenous remote sensing …

Using blockchain technology and sharing culture to promote sustainable forest management in tribal communities

Y Peng, W Huang - Journal of Environmental and Public …, 2022 - Wiley Online Library
Forest protection is crucial to ensuring the balance between human beings and ecology.
This study explores the key role played by communities that originally lived in forest …

[PDF][PDF] Multi Chunk Learning Based Auto Encoder for Video Anomaly Detection.

X Qi, G Ji, J Zhang, B Sheng - Intelligent Automation & Soft …, 2022 - cdn.techscience.cn
Video anomaly detection is essential to distinguish abnormal events in large volumes of
surveillance video and can benefit many fields such as traffic management, public security …

Acoustic seafloor classification using the Weyl transform of multibeam echosounder backscatter mosaic

T Zhao, G Montereale Gavazzi, S Lazendić, Y Zhao… - Remote Sensing, 2021 - mdpi.com
The use of multibeam echosounder systems (MBES) for detailed seafloor mapping is
increasing at a fast pace. Due to their design, enabling continuous high-density …

Classification of tropical cyclone intensity based on deep learning and Yolo V5

L Li, Z Shuai, J Hu, Y Zhang - International Conference on Artificial …, 2022 - Springer
Deep convolutional networks have become a common tool for image recognition and object
detection. This paper proposes an algorithm based on YOLO V5 for tropical cyclone …

[PDF][PDF] A Sea Ice Recognition Algorithm in Bohai Based on Random Forest.

T Li, D Wu, R Han, J Xia, Y Ren - Computers, Materials & …, 2022 - cdn.techscience.cn
As an important maritime hub, Bohai Sea Bay provides great convenience for shipping and
suffers from sea ice disasters of different severity every winter, which greatly affects the socio …

[Retracted] Application of Transfer Learning and Feature Fusion Algorithms to Improve the Identification and Prediction Efficiency of Premature Ovarian Failure

Y Zhang, J Hou, Q Wang, A Hou… - Journal of Healthcare …, 2022 - Wiley Online Library
Ultrasound imaging technology has the advantages of noninvasiveness, real‐time, low
price, and easy operation. It is one of the most used diagnostic tools for early detection and …