Name
Title | ||
|---|---|---|
Multi-Kernel Retrieval Of Land Surface Bidirectional Reflectance Distribution Functions Based On L1-Nrom Optimization |
Abstract | ||
|---|---|---|
The existing kernel-based methods for retrieving land surface bidirectional reflectance distribution functions (BRDFs) usually use a pre-determined combination of kernels and it is fixed for an entire image, which is unable to accommodate the different characteristics from various land cover types. In this study, a multi-kernel method based on l(1) norm optimization is proposed. This method is able to automatically select appropriate kernels for each pixel from a kernel dictionary that contains several commonly used kernels. Experimental results show that BRDF retrieval accuracy is improved by adopting this new method. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729346 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
bidirectional reflectance distribution functions (BRDFs), multi-kernel retrieval, l(1)-norm optimization, sparse representation, bidirectional reflectance factors (BRFs) | Kernel (linear algebra),Bidirectional reflectance distribution function,Computer vision,Computer science,Remote sensing,Artificial intelligence,Pixel,Reflectivity,Multi kernel,Land cover,Distribution function | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiqing Guo | 1 | 24 | 5.81 |
| Xiuping Jia | 2 | 1424 | 126.54 |
| David Paull | 3 | 9 | 2.90 |
| Alex Held | 4 | 22 | 9.80 |