Image pan-sharpening using enhancement based approaches in remote sensing
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Image pan-sharpening using enhancement based approaches in remote sensing Sarwar Shah Khan 1 & Qiong Ran 1
& Muzammil Khan
2
Received: 20 October 2019 / Revised: 11 August 2020 / Accepted: 20 August 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
This paper proposes to do image enhancement before pan-sharpening; that is, the image enhancement techniques are used as a pre-processing step. The image enhancement techniques are proposed in two domains, same-domain and cross-domain. In the same-domain methods, the image enhancement techniques (such as Laplacian, Unsharp) are simply applied to multispectral (MS) and panchromatic (PAN) images to sharpen both images in the spatial domain. While in cross-domain, a novel hybrid combination of Laplacian Filter (LF) and Discrete Fourier Transformation (DFT) image sharpening technique is introduced. After image enhancement, the powerful Matting Model (MM) pan-sharpening technique is used to fuse both the enhanced images and produce a resultant image with the high spatial and spectral resolutions. The experimental results of the proposed approach outperform the others as compared to the state-of-art techniques over three datasets. The results are evaluated, considering both Qualitative and Quantitative evaluation metrics. Keywords Cross-domain . Laplacian filter . Discrete Fourier transform . Pan-sharpening . Matting model . Image enhancement . Multispectral and panchromatic images
1 Introduction The pan-sharpening methods are the unification (fusion) of two or more remote sensing images. The panchromatic image is the single-channel image [6, 30], providing high spatial resolution data (but with the low spectral resolution), is typically to merge with MS images, and to generate improved MS image with rich spatial and spectral resolution information [12]. This process of producing a high spatial resolution multispectral image is referred to as pan-
* Qiong Ran [email protected]
1
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
2
Department of Computer &Software Technology, University of Swat, Swat 19130, Pakistan
Multimedia Tools and Applications
sharpening [1]. Many satellites, such as Ikonos, Orbview, GeoEye, Spot, Pleiades, Quickbird, Lanset and Formosat can provide high spatial resolution panchromatic images with multispectral images of the same scene for pan-sharpening [2, 8]. The pan-sharpening is significantly involved in many applications, such as in geosciences domain, map updating [16], environment monitoring [13], digital soil mapping [34], visual image analysis [21], road extraction [35], land use or land cover (LULC) classification [36], land change observation [5], identification, and tracking [16]. Pan-sharpening is one of the most rapidly growing research fields which gets attention from the last couple of decades in the field of image processing [4, 24]. A huge number of methods are developed for pan-sharpening or image fusion to coalesce the f
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