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IR275K:面向高效遥感的红外多帧超分辨率基准测试

IR275K: A Benchmark for Infrared Multi-Frame Super-Resolution Toward Efficient Remote Sensing

Jie Deng, Heyang Wang, Changxin Wang, Junkai Shen, Hongyi Chen, Zhiping He, Hongxing Qi, Xudong Zhang, Jianyu Wang

arXiv 2607.22380首次发表:更新:

发表机构

Hangzhou Institute for Advanced Study; Shanghai Institute of Technical Physics of the Chinese Academy of Sciences; University of Chinese Academy of Sciences(杭州高等研究院; 中国科学院上海技术物理研究所; 中国科学院大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

该研究针对红外遥感中多帧超分辨率评估分散问题,引入IR275K基准测试。以CGMamba模型为例进行架构分析,其结合2D~RoPE与CGCM融合,实现高效重建,为红外MFSR方法评估及模型设计提供基础和起点。

AI 中文摘要

在红外遥感中,高效处理愈发重要,卫星星座在受限探测器分辨率、功率和下行链路带宽下产生大量观测数据。多帧超分辨率(MFSR)提供了基于软件的空间增强途径,但在红外传感中的评估仍分散于私有数据集和临时协议。现有基准未明确捕捉红外视频的热对比度、传感器噪声、弱纹理和平台引起的帧间变化。我们引入IR275K,这是一个包含594个红外视频序列和275196帧的精心策划的基准测试。它提供序列级的训练/验证/测试划分以及可重现的X4评估协议。作为初步的架构探索,我们进一步评估了CGMamba,一个具有1090万个参数和112.14 GFLOP的轻量级状态空间模型。CGMamba将二维旋转位置编码(2D~RoPE)与中心引导的交叉Mamba(CGCM)融合用于隐式多帧重建。它实现了33.19dB的PSNR,在显著更低的计算成本下比红外单图像超分辨率参考高出0.35 - 0.52dB。消融结果表明从CGCM中移除2D~RoPE会导致1.53dB的下降和严重的网格状伪影。这表明在红外条件下,显式空间锚定对于稳定基于状态空间模型的跨帧门控至关重要。IR275K为红外MFSR方法的准确性 - 效率评估提供了可重现的基础,而架构分析为资源受限的红外传感下的空间感知状态空间模型设计提供了具体起点。数据集和评估资源可在指定网址获取。

英文摘要

Efficient processing is becoming increasingly important in infrared remote sensing, where satellite constellations produce large volumes of observations under constrained detector resolution, power, and downlink bandwidth. Multi-frame super-resolution (MFSR) offers a software-based route to spatial enhancement, but its evaluation in infrared sensing remains fragmented across private datasets and ad-hoc protocols. Existing benchmarks do not explicitly capture the thermal contrast, sensor noise, weak texture, and platform-induced frame-to-frame variation that characterize infrared video. We introduce IR275K, a curated benchmark containing 594 infrared video sequences and 275,196 frames. It provides sequence-level train/validation/test splits and a reproducible X4 evaluation protocol. As an initial architectural probe, we further evaluate CGMamba, a lightweight state-space model with 10.90M parameters and 112.14G FLOPs. CGMamba combines 2D rotary position encoding (2D~RoPE) with center-guided cross-Mamba (CGCM) fusion for implicit multi-frame reconstruction. It achieves 33.19dB PSNR, outperforming infrared single-image super-resolution references by 0.35--0.52~dB at substantially lower computational cost. Ablation results show that removing 2D~RoPE from CGCM causes a 1.53dB drop and severe grid-like artifacts. This indicates that explicit spatial anchoring is critical for stabilizing SSM-based cross-frame gating under infrared conditions. IR275K provides a reproducible foundation for accuracy--efficiency evaluation of infrared MFSR methods, while the architectural analysis offers a concrete starting point for spatially aware SSM design under resource-constrained infrared sensing. Dataset and evaluation resources are available at: https://github.com/InfraRecon7/IR275K.

论文原文

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