A preliminary HLS30-to-HLS10 super-resolution pipeline shows histogram and feature distribution matching improve cross-sensor alignment, but the evaluation leaks target-image statistics and omits quantitative results on the HLS dataset.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Towards High-Resolution Alignment and Super-Resolution of Multi-Sensor Satellite Imagery
A preliminary HLS30-to-HLS10 super-resolution pipeline shows histogram and feature distribution matching improve cross-sensor alignment, but the evaluation leaks target-image statistics and omits quantitative results on the HLS dataset.