高光谱高空间分辨率遥感观测、处理与应用

doi:10.11947/j.AGCS.2023.20220715

测绘学报 ›› 2023, Vol. 52 ›› Issue (7): 1212-1226.doi: 10.11947/j.AGCS.2023.20220715

高光谱高空间分辨率遥感观测、处理与应用

钟燕飞¹, 王心宇², 胡鑫^1,3, 王少宇⁴, 万瑜廷¹, 唐舸², 张良培¹

1. 武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉 430079;
2. 武汉大学遥感信息工程学院, 湖北武汉 430079;
3. 广州市城市规划勘测设计研究院, 广东广州 510060;
4. 首尔大学农业与生命科学学院, 首尔 151742

收稿日期:2022-12-29 修回日期:2023-05-10 发布日期:2023-07-31
通讯作者: 张良培 E-mail:zlp62@whu.edu.cn
作者简介:钟燕飞(1982-),男,博士,教授,研究方向为高分辨遥感数据智能处理。E-mail:zhongyanfei@whu.edu.cn
基金资助:
国家重点研发计划（2022YFB3903404；2022YFB3903502）；国家自然科学基金（42071350；42101327）

Hyperspectral with high-spatial resolution remote sensing from observation, processing to applications

ZHONG Yanfei¹, WANG Xinyu², HU Xin^1,3, WANG Shaoyu⁴, WAN Yuting¹, TANG Ge², ZHANG Liangpei¹

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
3. Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510060, China;
4. College of Agriculture and Life Sciences, Seoul National University, Seoul 151742, South Korea

Received:2022-12-29 Revised:2023-05-10 Published:2023-07-31
Supported by:
The National Key Research and Development Program of China (Nos. 2022YFB3903404;2022YFB3903502); The National Natural Science Foundation of China (Nos. 42071350;42101327)

摘要/Abstract

摘要： 高光谱遥感技术是遥感领域的研究热点之一。然而，由于成像口径与能量等限制因素，难以同时获得高光谱和高空间分辨率的图像，这极大限制了高光谱遥感在精细尺度任务中的应用。近年来，随着高光谱成像技术及无人机为代表的新型观测平台的发展，高光谱高空间（双高，同时具备纳米级光谱分辨率与亚米级空间分辨率）遥感技术发展迅猛，推动了高光谱遥感技术的应用，但同时也带来了更多问题。极高的空间与光谱分辨率使得数据更加海量高维，加剧了高光谱数据的空间异质性和光谱变异性，为影像智能信息处理带来更大的挑战。为此，本文将从双高遥感影像基准数据集、双高遥感影像智能信息处理、双高遥感影像典型应用3个方面论述双高遥感应用与发展现状。

关键词: 高光谱高空间遥感, 双高遥感基准数据集, 双高遥感智能处理与应用

Abstract: Hyperspectral remote sensing has always been a research hotspot in the field of remote sensing. However, limited by imaging aperture and energy, it is difficult to obtain the imagery with hyperspectral and high spatial resolution at the same time, which greatly limits the application of hyperspectral remote sensing in fine-scale tasks. In recent years, with the development of hyperspectral imaging technology and new observation platforms represented by unmanned aerial vehicles, hyperspectral and high-spatial resolution (H², with both nanometer spectral resolution and submeter spatial resolution) has developed rapidly, promoting the application of hyperspectral remote sensing technology, but at the same time, it has also brought more problems.The extremely high spatial and spectral resolution makes the data more massive and high-dimensional, increases the spatial heterogeneity and spectral variability of hyperspectral data, and brings greater challenges to intelligent image information processing. Therefore, this article reviews the application and development status of H² remote sensing image from three aspects:H² remote sensing image benchmark dataset, H² remote sensing image intelligent information processing and typical application of H² remote sensing image.

Key words: hyperspectral and high-spatial resolution remote sensing, H² remote sensing benchmark dataset, intelligent processing and application of H² remote sensing image

中图分类号:

TP751:P237

钟燕飞, 王心宇, 胡鑫, 王少宇, 万瑜廷, 唐舸, 张良培. 高光谱高空间分辨率遥感观测、处理与应用[J]. 测绘学报, 2023, 52(7): 1212-1226.

ZHONG Yanfei, WANG Xinyu, HU Xin, WANG Shaoyu, WAN Yuting, TANG Ge, ZHANG Liangpei. Hyperspectral with high-spatial resolution remote sensing from observation, processing to applications[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(7): 1212-1226.

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高光谱高空间分辨率遥感观测、处理与应用

Hyperspectral with high-spatial resolution remote sensing from observation, processing to applications

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