This study provides an overview of the techniques, shortcomings, and strengths of remote
sensing (RS) applications in the effective retrieval and monitoring of water quality …

Recently, the rapid development of deep learning has greatly improved the performance of
image classification. However, a central problem in hyperspectral image (HSI) classification …

Climate change has catalyzed the global expansion of cyanobacterial blooms in eutrophic,
lakes and threatens water security. In most studies, the cyanobacterial bloom risk levels in …

In recent years, under the dual pressure of climate change and human activities, the
cyanobacteria blooms in inland waters have become a threat to global aquatic ecosystems …

Cyanobacterial harmful algal blooms are an increasing threat to coastal and inland waters.
These blooms can be detected using optical radiometers due to the presence of …

Hyperspectral images possess the characteristics of high dimensionality, which causes
“dimensional disaster” and low classification accuracy. In order to solve the problems, based …

This work aimed to assess the potential of unmanned aerial vehicle (UAV) multi-and hyper-
spectral platforms to estimate chlorophyll-a (Chl-a) and cyanobacteria in experimental …

This study determines an optimal spectral configuration for the CyanoSat imager for the
discrimination and retrieval of cyanobacterial pigments using a simulated dataset with …

This study introduces a prototype end-to-end Simulator software tool for simulating two-
dimensional satellite multispectral imagery for a variety of satellite instrument models in …

摘要针对溢油, 赤潮等典型海洋生态环境污染和灾害, 传统监测手段在海雾, 耀斑,
复杂光照等复杂海况干扰下存在“看不远”“辨不出”“认不清” 三大难题. 通过对比多种光学监测 …