NTIRE 2026挑战赛推动红外遥感超分辨率技术发展
The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
- 基于x4下采样构建红外图像超分基准任务
- 13支队伍提交有效结果，最优模型在IRSTD-1K上达到28.79dB PSNR
- 面向真实遥感场景，助力红外成像应用落地
本文介绍NTIRE 2026遥感红外图像超分辨率（x4）挑战赛，作为NTIRE 2026的关联挑战之一。该挑战旨在从通过双三次下采样生成的低分辨率（LR）输入中恢复高分辨率（HR）红外图像，提升遥感场景下红外图像超分辨率性能。为贴合红外数据特性与实际应用需求，挑战采用单赛道设置。共有115名参与者注册，13支团队提交有效成果。本报告总结了挑战的设计、数据集、评估协议、主要结果及各团队代表性方法。该挑战为红外图像超分辨率研究提供基准，推动真实遥感应用中高效解决方案的发展。
原文摘要 · Abstract (English)
This paper presents the NTIRE 2026 Remote Sensing Infrared Image Super-Resolution (x4) Challenge, one of the associated challenges of NTIRE 2026. The challenge aims to recover high-resolution (HR) infrared images from low-resolution (LR) inputs generated through bicubic downsampling with a x4 scaling factor. The objective is to develop effective models or solutions that achieve state-of-the-art performance for infrared image SR in remote sensing scenarios. To reflect the characteristics of infrared data and practical application needs, the challenge adopts a single-track setting. A total of 115 participants registered for the competition, with 13 teams submitting valid entries. This report summarizes the challenge design, dataset, evaluation protocol, main results, and the representative methods of each team. The challenge serves as a benchmark to advance research in infrared image super-resolution and promote the development of effective solutions for real-world remote sensing applications.
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