JTTR Framework: Thin and Thick Cloud Removal for Gaofen Satellite Images

A 755.1 MB dataset containing DOCX and JPG files describing a joint thin–thick cloud removal (JTTR) framework for high-resolution optical satellite images. The framework was authored by Shaocong Zhu and uploaded to figshare in May 2026. It likely includes documentation and visual results from experiments using Gaofen satellite data.

Use Cases

• Evaluating cloud removal performance based on the JTTR framework's multi-scale detection approach
• Benchmarking satellite image restoration methods based on the described radiometric adjustment and boundary interpolation model
• Developing generalized cloud removal models based on the framework's reported strong generalization ability across sensors and scenes

Strengths

• Dataset size is 755.1 MB, indicating substantial content
• License is CC-BY-4.0, allowing for open sharing and modification
• Framework was tested on Gaofen satellite data across multiple sensors and complex scenes

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic or sensor bias inherent to the Gaofen satellite source

Provenance

Source

figshare

Collection Method

Likely contains research documentation and visual results from simulated and real experiments.

Freshness

Last updated 2026-05-06 15:14:02; freshness should be verified