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VHR Optical Remote Sensing

Main activity

The residual misregistration can be considered as a source of noise, referred as “Registration Noise (RN). The most critical components of this noise are related to spatially corresponding pixels that belong to different objects at the two dates (i.e., border region of objects or high frequency area in the images).

We aims at reducing the misalignment effects and thus at increasing the accuracy of multitemporal information extraction methods.

For decades, multispectral sensor images have been a stable and popular data source in Remote Sensing Change Detection (RS CD) application fields. This is mainly due to the availability of long time series databases and in the last decade to the free distribution of this information, at least for medium resolution sensors (e.g., MODIS, Landsat). With the development of sensor technology, the new generation satellite sensors have been capable to acquire images with higher spatial and spectral resolution and with pass of time, to offer a VHR time series database.


The MS-TS project aims at designing and developing novel methodologies for the homogenization of multisensor data in terms of physical quantities. In addition, this project will contribute to the development of novel theoretical methodologies for exploiting existing long time series of multisensor images in environmental monitoring with particular attention to change detection and land-cover transition analysis.