Chenbin Liang
Researcher / author (OpenAlex)
Facts
1 property
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-1499-7177
- OpenAlex ID
- A5078148930, A5123596440as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Affiliated with 10
Author of 10
A Coarse-to-Fine Feature Match Network Using Transformers for Remote Sensing Image Registration,
An Improved Phase Correlation Subpixel Remote Sensing Registration Algorithm Using Probability-Guided RANSAC,
DaliWS: A High-Resolution Dataset with Precise Annotations for Water Segmentation in Synthetic Aperture Radar Images,
High-Resolution Boundary Refined Convolutional Neural Network for Automatic Agricultural Greenhouses Extraction from GaoFen-2 Satellite Imageries,
MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution,
Multilevel Heterogeneous Domain Adaptation Method for Remote Sensing Image Segmentation,
Research on a novel extraction method using Deep Learning based on GF-2 images for aquaculture areas,
Semi-/Weakly-Supervised Semantic Segmentation Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images—Taking the Fujian Coastal Area (Mainly Sanduo) as an Example
+2 more
← Authored by 10
A Coarse-to-Fine Feature Match Network Using Transformers for Remote Sensing Image Registration,
An Improved Phase Correlation Subpixel Remote Sensing Registration Algorithm Using Probability-Guided RANSAC,
DaliWS: A High-Resolution Dataset with Precise Annotations for Water Segmentation in Synthetic Aperture Radar Images,
High-Resolution Boundary Refined Convolutional Neural Network for Automatic Agricultural Greenhouses Extraction from GaoFen-2 Satellite Imageries,
MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution,
Multilevel Heterogeneous Domain Adaptation Method for Remote Sensing Image Segmentation,
Research on a novel extraction method using Deep Learning based on GF-2 images for aquaculture areas,
Semi-/Weakly-Supervised Semantic Segmentation Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images—Taking the Fujian Coastal Area (Mainly Sanduo) as an Example
+2 more
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Summary
Chenbin Liang is a human[1].