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Fully spatially adaptive smoothing parameter estimation for Markov random field super-resolution mapping of remotely sensed images
| Content Provider | Scilit |
|---|---|
| Author | Aghighi, H. Trinder, J. Lim, S. Tarabalka, Y. |
| Copyright Year | 2015 |
| Description | This article presents a fully spatially adaptive Markov random field (MRF)-based super-resolution mapping (SRM) technique to produce land-cover maps at a finer spatial resolution than the original coarse-resolution image. MRF combines the spectral and spatial energies; hence, an MRF-SRM technique requires a smoothing parameter to manage the contributions of these energies. The main aim of this article is to introduce a new method called fully spatially adaptive MRF-SRM to automatically determine the smoothing parameter, overcoming limitations of the previously proposed approaches. This method estimates the number of endmembers in each image and uses them to assess the proportions of classes within each coarse pixel by a linear spectral unmixing method. Then, the real pixel intensity vectors and the local properties of each coarse pixel are used to compute the local spectral energy change matrix and the local spatial energy change matrix for each coarse pixel. Each pair of matrices represents all possible situations in spatial and spectral energy change for each coarse pixel and can be used to examine the balance between spatial and spectral energies, and hence to estimate a smoothing parameter for each coarse pixel. Thus, the estimated smoothing parameter is fully spatially adaptive with respect to real pixel spectral vectors and their local properties. The performance of this method is evaluated using two synthetic images and an EO1-ALI (The Advanced Land Imager instrument on Earth Observing-1 satellite) multispectral remotely sensed image. Our experiments show that the proposed method outperforms the state-of-the-art techniques. |
| Related Links | https://hal.inria.fr/hal-01159037/file/2015_Aghighi.pdf https://core.ac.uk/download/pdf/108147986.pdf |
| Ending Page | 2879 |
| Page Count | 29 |
| Starting Page | 2851 |
| ISSN | 01431161 |
| e-ISSN | 13665901 |
| DOI | 10.1080/01431161.2015.1049381 |
| Journal | International Journal of Remote Sensing |
| Issue Number | 11 |
| Volume Number | 36 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2015-05-21 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Super Resolution Land Cover Smoothing Parameter Manage Fully Spatially Spatially Adaptive Unmixing Method Earth Observing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences |
