Multitemporal Analysis of Remotely Sensed Image Data

Multitemporal data analysis is a hot topic in remote sensing. This articlereviews literature about: (i) unsupervised bitemporal image analysis, (ii) (semi-)supervised bitemporal image analysis, and (iii) image time series analysis. The first one mainly exploits multitemporal image comparison techniques for detecting the presence/absence of changes. The second one relies upon classification methods for detecting land-cover transitions. The third uses both unsupervised and supervised/semi-supervised methods for land-cover monitoring and trend analysis in long time series tendencies developed for images acquired by multi-/hyper-spectral optical and SAR systems at medium, high, and very high spatial resolution (VHR) are considered.