A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution.

ABSTRACT: Insufficient image spatial resolution is a serious limitation in many practical scenarios, especially when acquiring images at a finer scale is infeasible or brings higher costs. This is inherent to remote sensing, including Sentinel-2 satellite images that are available free of charge at a high revisit frequency, but whose spatial resolution is limited to 10m ground sampling distance. The resolution can be increased with super-resolution algorithms, in particular when performed from multiple images captured at subsequent revisits of a satellite, taking advantage of information fusion that leads to enhanced reconstruction accuracy. One of the obstacles in multi-image super-resolution consists in the scarcity of real-world benchmarks-commonly, simulated data are exploited which do not fully

SUBMITTER: Kowaleczko P 

PROVIDER: S-EPMC10514337 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature