Name
Title | ||
|---|---|---|
Change Vector Analysis in Posterior Probability Space: A New Method for Land Cover Change Detection. |
Abstract | ||
|---|---|---|
Postclassification comparison (PCC) and change vector analysis (CVA) have been widely used for land use/cover change detection using remotely sensed data. However, PCC suffers from error cumulation stemmed from an individual image classification error, while a strict requirement of radiometric consistency in remotely sensed data is a bottleneck of CVA. This letter proposes a new method named CVA i... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/LGRS.2010.2068537 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Remote sensing,Pixel,Radiometry,Accuracy,Training,Satellites,Earth | Bottleneck,Thematic Mapper,Change detection,Remote sensing,Posterior probability,Radiometry,Pixel,Contextual image classification,Mathematics,Land use | Journal |
Volume | Issue | ISSN |
8 | 2 | 1545-598X |
Citations | PageRank | References |
23 | 1.33 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin Chen | 1 | 259 | 31.87 |
| Xuehong Chen | 2 | 73 | 6.90 |
| Xihong Cui | 3 | 27 | 7.63 |
| Jun Chen | 4 | 207 | 21.33 |