Image fusion is a process in computational imaging where information from multiple images, often from different imaging modalities or spectral bands, is combined into a single image. The aim is to enhance the quality or utility of the information. This technique is widely used in various fields such as medical imaging, remote sensing, and surveillance. The fused image retains important features from each of the original images, thereby providing a more comprehensive representation of the scene or object being imaged.
데이터셋
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
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.