Name
Title | ||
|---|---|---|
Detecting land cover change using a sliding window temporal autocorrelation approach. |
Abstract | ||
|---|---|---|
There has been recent developments in the use of hypertemporal satellite time series data for land cover change detection and classification. Recently, an Autocorrelation function (ACF) change detection method was proposed to detect the development of new human settlements in South Africa. In this paper, an extension to this change detection method is proposed that produces an estimate of the change date in addition to the change metric. Preliminary results indicate that comparable accuracy is achievable relative to the original formulation, with the added advantage of providing an estimate of the change date. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IGARSS.2012.6352552 | IGARSS |
Keywords | Field | DocType |
geophysical image processing,image classification,vegetation mapping,ACF change detection method,South Africa,autocorrelation function,hyper-temporal satellite time series data,land cover change classification,land cover change detection,sliding window temporal autocorrelation approach | Time series,Satellite,Change detection,Sliding window protocol,Computer science,Remote sensing,Contextual image classification,Land cover,Land cover change detection,Autocorrelation | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Waldo Kleynhans | 1 | 111 | 27.45 |
| Brian P. Salmon | 2 | 150 | 27.18 |
| Jan C. Olivier | 3 | 148 | 29.36 |
| Frans van den Bergh | 4 | 189 | 21.35 |
| Konrad J. Wessels | 5 | 98 | 20.52 |
| Trienko L. Grobler | 6 | 2 | 2.82 |