Area of research
Media Technology · Atmospheric Science
Research interest
Research interests include Hyperspectral imaging, Computer science, Remote sensing, Environmental science, Multispectral image, and Artificial intelligence.
An interpretable physics-informed deep learning model for estimating multiple air pollutants
SAI: A <i>Spartina alterniflora</i> Index Based on Sentinel-2 Multispectral Imagery for <i>Spartina alterniflora</i> Mapping
Impacts of Coastal Nutrient Increases on the Marine Ecosystem in the East China Sea During 1982–2012: A Coupled Hydrodynamic‐Ecological Modeling Study
Development of island-specific land-use classification system and spatiotemporal pattern evolution analysis using Landsat time series for coastal zone management: A case study of Zhoushan Archipelago, China
A lightweight CNN-Transformer network for pixel-based crop mapping using time-series Sentinel-2 imagery
An automatically recursive feature elimination method based on threshold decision in random forest classification
Domain Adaptive and Interactive Differential Attention Network for Remote Sensing Image Change Detection
Tracking dynamics characteristics of tidal flats using landsat time series and Google Earth Engine cloud platform
Recognition of small water bodies under complex terrain based on SAR and optical image fusion algorithm
Using ZY1-02D satellite hyperspectral remote sensing to monitor landscape diversity and its spatial scaling change in the Yellow River Estuary
Monitoring wetland plant diversity from space: Progress and perspective
A Multi-Scale Mask Convolution-Based Blind-Spot Network for Hyperspectral Anomaly Detection
Mapping the distribution and dynamics of coastal aquaculture ponds using Landsat time series data based on U <sup>2</sup> -Net deep learning model
Uncertain Category-Aware Fusion Network for Hyperspectral and LiDAR Joint Classification
Simulations of water pollutants in the Hangzhou Bay, China: Hydrodynamics, characteristics, and sources
Monitoring the Invasion of S. alterniflora on the Yangtze River Delta, China, Using Time Series Landsat Images during 1990–2022
Generating high-resolution hyperspectral time series datasets based on unsupervised spatial-temporal-spectral fusion network incorporating a deep prior
A Multisource Dynamic Fusion Network for Urban Functional Zone Identification on Remote Sensing, POI, and Building Footprint
Spatio-temporal changes in China's mainland shorelines over 30 years using Landsat time series data (1990–2019)
A Novel Method for Cloud and Cloud Shadow Detection Based on the Maximum and Minimum Values of Sentinel-2 Time Series Images
First wetland mapping at 10-m spatial resolution in South America using multi-source and multi-feature remote sensing data
STANet: A Hybrid Spectral and Texture Attention Pyramid Network for Spectral Super-Resolution of Remote Sensing Images
A robust and accurate feature matching method for multi-modal geographic images spatial registration
Integrating Multitemporal SAR and Optical Information for Missing Optical Imagery Generation
Geo-STO3Net: A Deep Neural Network Integrating Geographical Spatiotemporal Information for Surface Ozone Estimation
A Cross-Scene Self-Representative Network for Hyperspectral Band Selection
MFI: A mudflat index based on hyperspectral satellite images for mapping coastal mudflats
The phenology and water level time-series mangrove index for improved mangrove monitoring
Coupled Temporal Variation Information Estimation and Resolution Enhancement for Remote Sensing Spatial–Temporal–Spectral Fusion
Coastline extraction using remote sensing: a review