Sub-pixel mapping based on spectral information of irregular scale areas for hyperspectral images

被引：1

作者：

Wang, Peng ^{[1
,2
,3
]}

Chen, Yong-Kang ^{[3
]}

Zhang, Gong ^{[3
]}

Wang, Hong-Ying ^{[4
]}

Zhao, Chun-Lei ^{[5
]}

Han, Ling ^{[6
]}

机构：

[1] Minist Nat Resources, Zhangzhou Inst Surveying & Mapping, Key Lab Southeast Coast Marine Informat Intelligen, Zhangzhou 363000, Peoples R China

[2] Chuzhou Univ, Anhui Prov Key Lab Phys Geog Environm, Chuzhou 239000, Peoples R China

[3] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing 210016, Peoples R China

[4] Nanjing Univ Posts & Telecommun, Sch Management, Nanjing 210003, Peoples R China

[5] Meteorol Inst Hebei, Key Lab Meteorol & Ecol Environm Hebei Prov, Shijiazhuang 050021, Peoples R China

[6] Changan Univ, Xian Key Lab Terr Spatial Informat, Xian 710064, Peoples R China

来源：

JOURNAL OF INFRARED AND MILLIMETER WAVES | 2023年 / 42卷 / 04期

基金：

中国国家自然科学基金;

关键词：

hyperspectral images; sub-pixel mapping; super-resolution mapping; spatial-spectral information; irregular scale areas;

D O I：

10.11972/j.issn.1001-9014.2023.04.016

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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 spectral 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 proposed in this paper. The experimental results on three remote sensing images show the proposed SIISA outperforms the existing sub-pixel mapping methods.

引用

页码：538 / 545

页数：8

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