热成像超分算法模型

热成像超分模型，基于红外热成像相机采集的社区、交通路口、
室内等多场景数据，满足 2 倍超分需求 ，助力提升热成像画面解析度，
为场景目标识别等应用提供更清晰的基础支撑 。

Thermal Imaging Super-Resolution Model: Built on multi-scenario data collected by infrared thermal imaging cameras, including communities, traffic intersections, indoor environments and other scenarios, it supports 2× super-resolution tasks, helps improve the resolution of thermal imaging frames, and provides clearer foundational support for applications such as scene target recognition.

搜集汇总

背景与挑战

背景概述

该数据集为热成像超分算法模型，基于多场景红外热成像数据，支持2倍超分，旨在提升画面解析度，适用于目标识别等应用。