红外与毫米波学报2023，Vol.42Issue(4)：538-545,8.DOI:10.11972/j.issn.1001-9014.2023.04.016
基于不规则尺度区域光谱信息的高光谱图像亚像元定位
Sub-pixel mapping based on spectral information of irregular scale areas for hyperspectral images
摘要
Abstract
Sub-pixel mapping technology can analyze mixed pixels and realize the transformation from fractional images to fine a land-cover mapping image at the sub-pixel level.However,the spectral information used by the traditional sub-pixel mapping methods is usually constructed in a specified rectangular local window,and the spec-tral information of all bands is rarely used,affecting the performance of sub-pixel mapping.To solve this issue,sub-pixel mapping based on spectral information of irregular scale areas(SIISA)for hyperspectral images is pro-posed in this paper.The experimental results on three remote sensing images show the proposed SIISA outper-forms the existing sub-pixel mapping methods.关键词
高光谱图像/亚像元定位/超分辨制图/空间-光谱信息/不规则区域Key words
hyperspectral images/sub-pixel mapping/super-resolution mapping/spatial-spectral information/irregular scale areas分类
信息技术与安全科学引用本文复制引用
王鹏,陈永康,张弓,王弘颖,赵春雷,韩玲..基于不规则尺度区域光谱信息的高光谱图像亚像元定位[J].红外与毫米波学报,2023,42(4):538-545,8.基金项目
Supported by the Foundation of Anhui Province Key Laboratory of Physical Geographic Environment(2022PGE010) （2022PGE010）
The Fundamental Research Funds for the Central Universities,CHD(300102353508) （300102353508）
the Key Laboratory of Southeast Coast Marine Information Intelligent Perception and Application,MNR(22101) （22101）
National Natural Science Foundation of China(61801211) （61801211）
Natural Science Foundation of Jiangsu Province(BK20221478) （BK20221478）
Hong Kong Scholars Program(XJ2022043) （XJ2022043）
S&T Program of Hebei(21567624H) （21567624H）
Open Project Program of Key Laboratory of Meteorology and Ecological Environment of Hebei Province(Z202102YH) （Z202102YH）
