Biao Wang

Orcid: 0000-0002-3594-7953

Affiliations:
  • Anhui University, Hefei, China


According to our database1, Biao Wang authored at least 25 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
GF-2 Remote Sensing-Based Winter Wheat Extraction With Multitask Learning Vision Transformer.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

A Mutual Information Constrained Multitask Learning Method for Very High-Resolution Building Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Fine-Scale Small Water Body Uncovered by GF-2 Remote Sensing and Multifeature Deep Learning Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

High-Resolution Remote Sensing Farmland Extraction Network Based on Dense-Feature Overlay Fusion and Information Homogeneity Enhancement.
IEEE Geosci. Remote. Sens. Lett., 2025

Feature Enhancement and Feedback Network for Change Detection in Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2025

A high-resolution remote sensing land use/land cover classification method based on multi-level features adaptation of segment anything model.
Int. J. Appl. Earth Obs. Geoinformation, 2025

2024
Multisource High-Resolution Remote Sensing Image Vegetation Extraction with Comprehensive Multifeature Perception.
Remote. Sens., February, 2024

A Multispectral Remote Sensing Crop Segmentation Method Based on Segment Anything Model Using Multistage Adaptation Fine-Tuning.
IEEE Trans. Geosci. Remote. Sens., 2024

Dual-Dimension Feature Interaction for Semantic Change Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
A Heterogeneity-Enhancement and Homogeneity-Restraint Network (HEHRNet) for Change Detection from Very High-Resolution Remote Sensing Imagery.
Remote. Sens., November, 2023

A Fourier Frequency Domain Convolutional Neural Network for Remote Sensing Crop Classification Considering Global Consistency and Edge Specificity.
Remote. Sens., October, 2023

Full-coverage spatiotemporal estimation of surface ozone over China based on a high-efficiency deep learning model.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023

Recognition of Abnormal Individuals Based on Lightweight Deep Learning Using Aerial Images in Complex Forest Landscapes: A Case Study of Pine Wood Nematode.
Remote. Sens., March, 2023

Deep Learning Method Based on Spectral Characteristic Rein-Forcement for the Extraction of Winter Wheat Planting Area in Complex Agricultural Landscapes.
Remote. Sens., March, 2023

Remote Sensing Crop Recognition by Coupling Phenological Features and Off-Center Bayesian Deep Learning.
Remote. Sens., February, 2023

A Remote Sensing Method for Crop Mapping Based on Multiscale Neighborhood Feature Extraction.
Remote. Sens., January, 2023

2022
A Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep Learning Fusion Network.
Remote. Sens., 2022

2021
Automatic Road Extraction from High-Resolution Remote Sensing Images Using a Method Based on Densely Connected Spatial Feature-Enhanced Pyramid.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Deep Learning Method of Water Body Extraction From High Resolution Remote Sensing Images With Multisensors.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Multi-Feature Enhanced Building Change Detection Based on Semantic Information Guidance.
Remote. Sens., 2021

Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms.
Remote. Sens., 2021

2019
Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features.
Sensors, 2019

2018
Building Extraction in Very High Resolution Imagery by Dense-Attention Networks.
Remote. Sens., 2018

Wetland Change Detection Using Cross-Fused-Based and Normalized Difference Index Analysis on Multitemporal Landsat 8 OLI.
J. Sensors, 2018

2017
Image Fusion-Based Land Cover Change Detection Using Multi-Temporal High-Resolution Satellite Images.
Remote. Sens., 2017


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