Chuanwu Zhao

Orcid: 0000-0002-9058-7073

According to our database1, Chuanwu Zhao authored at least 12 papers between 2020 and 2024.

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

Timeline

Legend:

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Bibliography

2024
A generalized framework for agricultural field delineation from high-resolution satellite imageries.
Int. J. Digit. Earth, December, 2024

A Deep Learning Method for Cultivated Land Parcels' (CLPs) Delineation From High-Resolution Remote Sensing Images With High-Generalization Capability.
IEEE Trans. Geosci. Remote. Sens., 2024

A Novel Spectral Index for Vegetation Destruction Event Detection Based on Multispectral Remote Sensing Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Accurate vegetation destruction detection using remote sensing imagery based on the three-band difference vegetation index (TBDVI) and dual-temporal detection method.
Int. J. Appl. Earth Obs. Geoinformation, 2024

Improving Sample Applicability for Early-Season Mapping of Winter Wheat Using Geoclimatic Zoning.
Proceedings of the IGARSS 2024, 2024

2023
A novel spectral index for mapping blue colour-coated steel roofs (BCCSRs) in urban areas using Sentinel-2 data.
Int. J. Digit. Earth, December, 2023

FARM: A fully automated rice mapping framework combining Sentinel-1 SAR and Sentinel-2 multi-temporal imagery.
Comput. Electron. Agric., October, 2023

Comparison of Multi-Texture Features Extracts from GF-1 Images to Map Agricultural Plastic Greenhouse Through an Object-Based Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021
Modular Robotic Limbs for Astronaut Activities Assistance.
Sensors, 2021

Mapping Impervious Surface Distribution and Dynamics in an Arid/Semiarid Area-A Case Study in Ordos, China.
IEEE Access, 2021

2020
A Multi-site Collaborative Sampling for Web Accessibility Evaluation.
Proceedings of the Computers Helping People with Special Needs, 2020

Research on Book Recommendation System for People with Visual Impairment Based on Fusion of Preference and User Attention.
Proceedings of the Computers Helping People with Special Needs, 2020


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