Name
Title | ||
|---|---|---|
Triple Collocation to Assess Classification Accuracy Without a Ground Truth in Case of Earthquake Damage Assessment. |
Abstract | ||
|---|---|---|
The assessment of satellite image classifications is usually carried out using a test sample assumed as the ground truth, from which a confusion matrix is derived. There are cases where the reference data, even those coming from a ground survey, are affected by errors and do not represent a reliable truth. In the field of geophysical parameter retrieval, the triple collocation (TC) technique is ap... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TGRS.2017.2750770 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Earthquakes,Satellites,Reliability,Remote sensing,Gold,Standards,Buildings | Reference data (financial markets),Data mining,Order of accuracy,Satellite,Confusion matrix,Remote sensing,Ground truth,Test data,Contextual image classification,Mathematics,Collocation | Journal |
Volume | Issue | ISSN |
56 | 1 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nazzareno Pierdicca | 1 | 278 | 62.69 |
| Roberta Anniballe | 2 | 6 | 2.33 |
| fabrizio noto | 3 | 0 | 0.68 |
| Christian Bignami | 4 | 77 | 22.24 |
| Marco Chini | 5 | 148 | 31.25 |
| Antonio Martinelli | 6 | 0 | 0.34 |
| a mannella | 7 | 0 | 0.68 |