Multispectral remote sensing images are the primary source in the land use and land cover
(LULC) monitoring. This is achieved by LULC classification and LULC change detection …

The Earth's surface is continually changing, and identifying changes plays an important role
in urban planning and sustainability. Although change detection techniques have been …

Multi-source, multi-temporal, and multi-resolution satellite images have been increasing
over a couple of years. The spatiotemporal data fusion technique could be a promising …

The change detection of polarimetric synthetic aperture radar (PolSAR) images is a
longstanding and challenging task, not only because of the speckle issue but also due to the …

Owing to its high reproducibility, synthetic aperture radar (SAR) is a reliable change
detection tool. Although several maximization techniques for maximizing the time variance of …

Change detection monitoring on multi-temporal remote sensed images is a persistent
methodological challenge where the Dempster-Shafer, or evidence, Theory (DST) has been …

Multitemporal fully polarimetric synthetic aperture radar (SAR) images have been
successfully used for land use change detection. In urban expansion monitoring, we are …

This paper introduces the topic of urban change detection by means of fully and dual
polarized multitemporal spaceborne SAR data. The aim is to be able to detect not only urban …

The main objective of this paper is to classify the multispectral images into various land use
and land cover classes such as cloud, water, urban area, forest, crop land and plantation …

Cette thèse présente une approche de propagation et de réduction des incertitudes liées au
processus de changement d'occupation des sols (COS). Les modèles de COS ont …