Paper Info
Title
Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution.
Abstract
The Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) method to downscale Landsat-8 Operational Land Imager (OLI) 30-m data to Sentinel-2 multi-spectral instrument (MSI) 20-m resolution is presented. The method first downscales the Landsat-8 30-m OLI bands to 15-m using the spatial detail provided by the Landsat-8 15-m panchromatic band and then reprojects and resamples the downscaled 15-m data into registration with Sentinel-2A 20-m data. The LPAD method is demonstrated using pairs of contemporaneous Landsat-8 OLI and Sentinel-2A MSI images sensed less than 19 min apart over diverse geographic environments. The LPAD method is shown to introduce less spectral and spatial distortion and to provide visually more coherent data than conventional bilinear and cubic convolution resampled 20-m Landsat OLI data. In addition, results for a pair of Landsat-8 and Sentinel-2A images sensed one day apart suggest that image fusion should be undertaken with caution when the images are acquired under different atmospheric conditions. The LPAD source code is available at GitHub for public use.
Year
Venue
Field
2017
Remote Sensing
Computer vision,Downscaling,Image fusion,Convolution,Panchromatic film,Remote sensing,Spatial distortion,Artificial intelligence,Geology,Wavelength,Image registration,Bilinear interpolation
DocType
Volume
Issue
Journal
9
7
Citations 
PageRank 
References 
4
0.44
22
Authors
6
Name
Order
Citations
PageRank
Zhongbin Li1446.86
hankui zhang2367.39
David P. Roy330164.93
Lin Yan4334.24
Haiyan Huang514214.53
Jian Li6242.41