Interest in statistical analysis of remote sensing data to produce measurements of
environment, agriculture, and sustainable development is established and continues to …

Scene change detection is the process of identifying the differences between the
multitemporal image scenes, which has significant potential in the application of urban …

Recent advances in remote sensing technology have provided (very) high spatial resolution
Earth Observation data with abundant latent semantic information. Conventional data …

Remote sensing images are primary data sources for land use classification. High spatial
resolution images enable more accurate analysis and identification of land cover types …

In this article, we propose a promising approach for the application-oriented content
classification of spaceborne radar imagery that presents an interesting alternative to popular …

The increased number of free and open Sentinel satellite images has led to new
applications of these data. Among them is the systematic classification of land cover/use …

Mastering the evolution of urban land cover is important for urban management and
planning. In this paper, a method for analyzing land cover evolution within urban built-up …

In this study, we utilized all available Landsat images over two adjacent orbits between 1997
and 2015 for the quasi automatic detection of clearcuts and storm damages in boreal forest …

Processing sequential multi-sensor data becomes important in many tasks due to the
dramatic increase in the availability of sensors that can acquire sequential data over time …