Name
Title | ||
|---|---|---|
On the Use of the Genetic Algorithm Filter-Based Feature Selection Technique for Satellite Precipitation Estimation |
Abstract | ||
|---|---|---|
A feature selection technique is used to enhance the precipitation estimation from remotely sensed imagery using an artificial neural network (PERSIANN) and cloud classification system (CCS) method (PERSIANN-CCS) enriched by wavelet features. The feature selection technique includes a feature similarity selection method and a filter-based feature selection using genetic algorithm (FFSGA). It is employed in this study to find an optimal set of features where redundant and irrelevant features are removed. The entropy index fitness function is used to evaluate the feature subsets. The results show that using the feature selection technique not only improves the equitable threat score by almost 7% at some threshold values for the winter season, but also it extremely decreases the dimensionality. The bias also decreases in both the winter (January and February) and summer (June, July, and August) seasons. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/LGRS.2012.2187513 | IEEE Geosci. Remote Sensing Lett. |
Keywords | Field | DocType |
persiann-ccs method,remote sensing,satellite precipitation estimation (spe),geophysics computing,atmospheric techniques,unsupervised feature selection,cloud classification system,self-organizing map,atmospheric precipitation,winter season,feature extraction,satellite precipitation estimation,genetic algorithm,summer season,filter-based feature selection technique,genetic algorithms,remotely sensed imagery,clustering,artificial neural network,entropy index fitness function,neural nets,indexes,self organizing map,indexation,classification system,estimation,fitness function,satellites,feature selection,seasonality,frequency selective surface | PERSIANN,Feature selection,Remote sensing,Feature extraction,Fitness function,Curse of dimensionality,Self-organizing map,Mathematics,Genetic algorithm,Wavelet | Journal |
Volume | Issue | ISSN |
9 | 5 | 1545-598X |
Citations | PageRank | References |
5 | 0.43 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Majid Mahrooghy | 1 | 35 | 7.77 |
| Nicolas H. Younan | 2 | 253 | 35.53 |
| Valentine G. Anantharaj | 3 | 18 | 5.06 |
| James Aanstoos | 4 | 16 | 3.79 |
| Shantia Yarahmadian | 5 | 15 | 4.37 |