Name
Title | ||
|---|---|---|
A Novel Wrapper Approach for Feature Selection in Object-Based Image Classification Using Polygon-Based Cross-Validation |
Abstract | ||
|---|---|---|
Feature selection is becoming a major component of object-based classification as numerous features of segmented object become available. Although common feature selection methods in object-based classification are acknowledged, wrapper-based methods remain an issue due to the diversity of accuracy assessment methods. This letter presents a new wrapper approach using polygon-based cross validation... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LGRS.2016.2645710 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Support vector machines,Shape,Training,Image resolution,Computational efficiency,Green products,Unmanned aerial vehicles | Data mining,Photogrammetry,Polygon,Pattern recognition,Feature selection,Support vector machine,Artificial intelligence,Information gain ratio,Classifier (linguistics),Contextual image classification,Cross-validation,Mathematics | Journal |
Volume | Issue | ISSN |
14 | 3 | 1545-598X |
Citations | PageRank | References |
11 | 0.54 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Ma | 1 | 33 | 5.90 |
| Manchun Li | 2 | 211 | 45.40 |
| Yu Gao | 3 | 61 | 15.12 |
| Tan Chen | 4 | 11 | 0.54 |
| Xiaoxue Ma | 5 | 32 | 1.80 |
| Lean Qu | 6 | 11 | 0.54 |