A hierarchical classification framework of satellite multispectral/hyperspectral images for mapping coastal wetlands

L Jiao, W Sun, G Yang, G Ren, Y Liu - Remote Sensing, 2019 - mdpi.com
Mapping different land cover types with satellite remote sensing data is significant for
restoring and protecting natural resources and ecological services in coastal wetlands. In …

A multitask bee colony band selection algorithm with variable-size clustering for hyperspectral images

C He, Y Zhang, D Gong, X Song… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Band selection (BS) is a widely used dimensionality reduction technique for hyperspectral
images. However, most of existing evolutionary algorithms focus on searching a globally …

Multi-objective evolutionary multi-tasking band selection algorithm for hyperspectral image classification

Q Wang, Y Liu, K Xu, Y Dong, F Cheng, Y Tian… - Swarm and Evolutionary …, 2024 - Elsevier
Hyperspectral images (HSI) contain a great number of bands, which enable better
characterization of features. However, the huge dimension and information volume brought …

Multi-level quantum inspired metaheuristics for automatic clustering of hyperspectral images

T Dutta, S Bhattacharyya, BK Panigrahi… - Quantum Machine …, 2023 - Springer
Hyperspectral images contain large spectral information with an abundance of redundancy
and a curse of dimensionality. Due to the absence of prior knowledge or availability of …

Beyond hydrology: Exploring the factors influencing the seasonal variation of the molecular composition of riverine dissolved organic matter

X Zhan, H Bao, J Niggemann, W Zhao… - Journal of …, 2024 - Wiley Online Library
The export of dissolved organic matter (DOM) from rivers is essential for linking terrestrial
and marine carbon reservoirs in the global carbon cycle. However, there is limited …

Global model for depth‐dependent carbonyl photochemical production rates in seawater

Y Zhu, DJ Kieber - Global Biogeochemical Cycles, 2020 - Wiley Online Library
A photochemical model was used to quantify the global contribution of carbonyl
photoproduction in the photodegradation of marine dissolved organic carbon (DOC). As …

Depth-resolved photochemical production of hydrogen peroxide in the global ocean using remotely sensed ocean color

Y Zhu, LC Powers, DJ Kieber, WL Miller - Frontiers in Remote Sensing, 2022 - frontiersin.org
Hydrogen peroxide (H2O2) is an important reactive oxygen species (ROS) in natural waters,
affecting water quality via participation in metal redox reactions and causing oxidative stress …

Predicting dissolved organic carbon concentration in a dynamic salt marsh creek via machine learning

CJ Codden, AM Snauffer, AV Mueller… - Limnology and …, 2021 - Wiley Online Library
Dissolved organic carbon (DOC) is a master variable in aquatic systems. Resolving DOC
dynamics requires high‐temporal resolution data. However, DOC concentration cannot be …

Unsupervised Hyperspectral Band Selection via Structure-Conserved and Neighborhood-Grouped Evolutionary Algorithm

Q Wang, C Song, Y Dong, F Cheng… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Hyperspectral images (HSIs) contain hundreds of bands, which provide a wealth of spectral
information and enable better characterization of features. However, the excessive …

Wideband, high spectral resolution UV convex grating imaging spectrometer based on an Offner structure

Q Xue, J Yang, L Huang, H Bai, J Lu - Applied Optics, 2022 - opg.optica.org
Ultraviolet is an effective electromagnetic spectrum in material detection, which has wide
application prospects in aerospace and environmental monitoring. A conventional imaging …