Journal article
A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation
Computers & geosciences, v 168, p105219
01 Nov 2022
Abstract
The main difficulty of panchromatic-multispectral image fusion is to balance the quality of spatial information and the spectral fidelity. Most of the practical fusion methods determine the optimal parameters based on the spatial and spectral characteristics of all original panchromatic and multispectral bands. However, for built-up and non-built-up areas (like cropland, forest) in one image, there may be large differences in their spatial and spectral characteristics, so their fused results are not optimal respectively with same parameters. To address above issues, this paper presents a high-resolution satellite image fusion method assisted with building segmentation. First, the proposed approach computes the average gradient and Gaussian filtering parameters of built-up and non-built-up areas separately according to the building segmentation results, on the basis of smoothing filter-based intensity modulation (SFIM). Then the intermediate data of two types of areas are computed in parallel and they are composited to obtain the final fused image, weighted by the pixel-wise "building factors" derived from the building segmentation results. Moreover, to better simulate the spatial characteristics of the multispectral image, we perform the "gradient simulation" operation to extract the gradient values in the multispectral image. Experimental results on Jilin-1 satellite images show that the proposed method provides competitive performance in spatial resolution, multispectral fidelity and quantity of information, as compared to the state-of-the-art methods in mainstream commercial software.
Metrics
Details
- Title
- A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation
- Creators
- Fang Gao - Jilian Technology Group (China)Yihui Li - Chang Guang Satellite Technol Co Ltd, 1299 Mingxi Rd, Changchun, Jilin, Peoples R ChinaPeng Zhang - Chang Guang Satellite Technol Co Ltd, 1299 Mingxi Rd, Changchun, Jilin, Peoples R ChinaYuwei Zhai - Chang Guang Satellite Technol Co Ltd, 1299 Mingxi Rd, Changchun, Jilin, Peoples R ChinaYan Zhang - Chang Guang Satellite Technol Co Ltd, 1299 Mingxi Rd, Changchun, Jilin, Peoples R ChinaYongshuai Yang - Chang Guang Satellite Technol Co Ltd, 1299 Mingxi Rd, Changchun, Jilin, Peoples R ChinaYuan An - Chang Guang Satellite Technol Co Ltd, 1299 Mingxi Rd, Changchun, Jilin, Peoples R China
- Publication Details
- Computers & geosciences, v 168, p105219
- Publisher
- Elsevier
- Number of pages
- 17
- Grant note
- ZDKJ2019007 / Major Scientific and Technological Projects of Hainan 2020YFA0714104 / National Key Research and Development Program 20200401093GX / Key Scientific and Technological Research and Development Projects of Jilin
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000867337100001
- Scopus ID
- 2-s2.0-85139228390
- Other Identifier
- 991020547659804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Geosciences, Multidisciplinary