Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10320
Title: Soft-then-hard sub-pixel mapping with multiple shifted images
Authors: Shi, W 
Wang, Q
Issue Date: 2015
Publisher: Taylor and Francis Ltd.
Source: International journal of remote sensing, 2015, v. 36, no. 5, p. 1329-1348 How to cite?
Journal: International Journal of Remote Sensing 
Abstract: The soft-then-hard sub-pixel mapping (STHSPM) algorithm is a type of sub-pixel mapping (SPM) algorithm that first estimates the soft class values for sub-pixels at the target fine spatial resolution and then predicts the hard class labels for sub-pixels. In this article, four fast STHSPM algorithms (i.e. bilinear, bicubic, kriging, and radial basis function interpolation) were enhanced by using multiple shifted images (MSIs). The proportion images of the MSIs were first downscaled to the desired fine spatial resolution and then the multiple downscaled images were integrated for each class, followed by the class allocation process. Three remote-sensing images were used to test the proposed methods, and the results showed that MSIs can help to increase the SPM accuracy of the four STHSPM algorithms. The approach to incorporating MSIs into the STHSPM algorithms is non-iterative and fast.
URI: http://hdl.handle.net/10397/10320
ISSN: 0143-1161
DOI: 10.1080/01431161.2015.1009650
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

20
Last Week
0
Last month
Checked on May 21, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.