Name
Title | ||
|---|---|---|
Fusion of hyperspectral and lidar data using generalized composite kernels: A case study in Extremadura, Spain |
Abstract | ||
|---|---|---|
The light detection and ranging (LiDAR) data provides very valuable information about the height of the surveyed area which can be used as a source of complementary information for the classification of hyperspectral data, in particular when it is difficult to separate complex classes. In this work, we suggest to exploit the generalized composite kernel strategy for fusion and classification of hyperspectral and LiDAR data. Our experimental results, conducted using a hyperspectral image and a LiDAR derived intensity image collected over a rural area in Extremadura, Spain, indicate that the proposed framework for the fusion of hyperspactral and LiDAR data provides significant classification results. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/IGARSS.2015.7325697 | IGARSS |
Keywords | Field | DocType |
Hyperspectral, light detection and ranging (LiDAR), generalized composite kernel, multinomial logistic regression (MLR), supervised classification | Computer science,Remote sensing,Fusion,Lidar,Ranging,Artificial intelligence,Kernel (linear algebra),Computer vision,Full spectral imaging,Pattern recognition,Support vector machine,Feature extraction,Hyperspectral imaging | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
7 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mahdi Khodadadzadeh | 1 | 68 | 9.12 |
| Aurora Cuartero | 2 | 15 | 3.02 |
| Jun Li | 3 | 1360 | 97.59 |
| A. M. Felicisimo | 4 | 18 | 4.39 |
| Antonio Plaza | 5 | 36 | 1.95 |