Title: Sub-pixel resolution thematic map based on multi-source data fusion

Authors: Peng Wang; Yuzhou Liu

Addresses: Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, 200030, China; Hebei Key Laboratory of Resource and Environmental Disaster Mechanism and Risk Monitoring, Institute of Disaster Prevention, Sanhe, 065201, China; College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China ' Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, 200030, China; Hebei Key Laboratory of Resource and Environmental Disaster Mechanism and Risk Monitoring, Institute of Disaster Prevention, Sanhe, 065201, China; College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

Abstract: In this paper, super-resolution mapping method is used to enhance the spatial resolution of the original hyperspectral images (HSI) and process the mixed pixels, producing the sub-pixel resolution thematic map. Currently, super-resolution mapping usually selects only panchromatic images (PAN) or light detection and ranging images (LiDAR) to be fused with HSI, while this paper proposes a multi-source data fusion method for super-resolution mapping (MSDF), which first fuses HSI with PAN by pansharpening based on principal component analysis (PCA), followed by LiDAR by generalised fusion map method, and finally classifies the fused image by support vector machine (SVM) to generate the sub-pixel resolution thematic map. The proposed MSDF in this paper fuses three types of data sources (i.e., HSI, PAN and LiDAR) to obtain the fused image with full spatial-spectral-elevation information, which enhances the classification accuracy of the sub-pixel resolution thematic map.

Keywords: multi-source data fusion; HIS; hyperspectral images; PAN; panchromatic images; LiDAR images; super-resolution mapping.

DOI: 10.1504/IJSCIP.2025.146939

International Journal of System Control and Information Processing, 2025 Vol.4 No.3, pp.204 - 219

Received: 06 Sep 2023
Accepted: 26 Mar 2024
Published online: 27 Jun 2025 *

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