Pansharpening

The PAirMax dataset is a collection of images for evaluating the performance of pansharpening algorithms. This data collection includes nine test cases at full resolution, acquired by different sensors belonging to Maxar's constellation of high-resolution satellites. Nine related test cases at reduced resolution, simulated according to Wald’s protocol, are also included. In particular, this dataset refers to the three images acquired by the WorldView-3 satellite, representing Munich. For further details, refer to the paper: G. Vivone, M. Dalla Mura, A. Garzelli, and F. Pacifici, "A Benchmarking Protocol for Pansharpening: Dataset, Pre-processing, and Quality Assessment," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.

This dataset refers to the two images acquired by the GeoEye-1 satellite, representing London and Trenton, respectively. The PAirMax dataset is a collection of images for evaluating the performance of pansharpening algorithms. This data collection includes nine test cases at full resolution, acquired by different sensors belonging to Maxar's constellation of high-resolution satellites. Nine related test cases at reduced resolution, simulated according to Wald’s protocol, are also included. For further details, refer to the paper: G. Vivone, M. Dalla Mura, A. Garzelli, and F. Pacifici, "A Benchmarking Protocol for Pansharpening: Dataset, Pre-processing, and Quality Assessment," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.

This dataset refers to the two images acquired by the WorldView-2 satellite, representing Miami. The PAirMax dataset is a collection of images for evaluating the performance of pansharpening algorithms. This data collection includes nine test cases at full resolution, acquired by different sensors belonging to Maxar's constellation of high-resolution satellites. Nine related test cases at reduced resolution, simulated according to Wald’s protocol, are also included. For further details, refer to the paper: G. Vivone, M. Dalla Mura, A. Garzelli, and F. Pacifici, "A Benchmarking Protocol for Pansharpening: Dataset, Pre-processing, and Quality Assessment," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.

Pansharpening Datasets from WorldView 2, WorldView 3, QuickBird, Gaofen 2 sensors.