Water-body segmentation for SAR images: past, current, and future

Z Guo, L Wu, Y Huang, Z Guo, J Zhao, N Li - Remote Sensing, 2022 - mdpi.com
Synthetic Aperture Radar (SAR), as a microwave sensor that can sense a target all day or
night under all-weather conditions, is of great significance for detecting water resources …

[HTML][HTML] A meta-analysis on harmful algal bloom (HAB) detection and monitoring: a remote sensing perspective

RM Khan, B Salehi, M Mahdianpari… - Remote Sensing, 2021 - mdpi.com
Algae serves as a food source for a wide range of aquatic species; however, a high
concentration of inorganic nutrients under favorable conditions can result in the …

Water-quality classification of inland lakes using Landsat8 images by convolutional neural networks

F Pu, C Ding, Z Chao, Y Yu, X Xu - Remote Sensing, 2019 - mdpi.com
Water-quality monitoring of inland lakes is essential for freshwater-resource protection. In
situ water-quality measurements and ratings are accurate but high costs limit their usage …

NT-Net: A semantic segmentation network for extracting lake water bodies from optical remote sensing images based on transformer

HF Zhong, Q Sun, HM Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The automatic extraction of lake water is one of the research hotspots in the field of remote
sensing image processing. Due to the small interclass variance between lakes and other …

Horizontal and vertical migration of cyanobacterial blooms in two eutrophic lakes observed from the GOCI satellite

K Xue, R Ma, M Shen, J Wu, M Hu, Y Guo, Z Cao… - Water Research, 2023 - Elsevier
Under the variations of natural conditions (temperature, wind speed, light, et al.) and self-
regulation of buoyancy, cyanobacterial blooms can change rapidly in a short time. The …

[HTML][HTML] Remote sensing techniques for monitoring algal blooms in the area between Jeddah and Rabigh on the Red Sea Coast

B Alharbi - Remote Sensing Applications: Society and …, 2023 - Elsevier
Abstract The Red Sea is known to host and facilitate the growth and reproduction of several
species of phytoplankton and algae. The degree of density and distribution of these …

On the exploitation of remote sensing technologies for the monitoring of coastal and river delta regions

Q Zhao, J Pan, AT Devlin, M Tang, C Yao… - Remote Sensing, 2022 - mdpi.com
Remote sensing technologies are extensively applied to prevent, monitor, and forecast
hazardous risk conditions in the present-day global climate change era. This paper presents …

Common fate of sister lakes in Hulunbuir Grassland: Long-term harmful algal bloom crisis from multi-source remote sensing insights

J Chen, J Wang, Q Wang, J Lv, X Liu, J Chen, N Li - Journal of Hydrology, 2021 - Elsevier
With the increasing impact of drought and anthropogenic c activities, middle and high
latitude lakes are increasingly facing exacerbated eutrophication. The sister lakes Hulun …

Research on a simulation method of the millimeter wave radar virtual test environment for intelligent driving

X Li, X Tao, B Zhu, W Deng - Sensors, 2020 - mdpi.com
This study addresses the virtual testing of intelligent driving, examines the key problems in
modeling and simulating millimeter wave radar environmental clutter, and proposes a …

A hierarchical convolution neural network (CNN)-based ship target detection method in spaceborne SAR imagery

J Wang, T Zheng, P Lei, X Bai - Remote Sensing, 2019 - mdpi.com
The ghost phenomenon in synthetic aperture radar (SAR) imaging is primarily caused by
azimuth or range ambiguities, which cause difficulties in SAR target detection application. To …