With the fast development of remote sensing platforms and sensors technology, change
detection with heterogeneous remote sensing images (Hete-CD) has become an attractive …

Research on change detection techniques has long been an active topic and many
techniques have been developed. In reality, change detection is a comprehensive …

Time series of remote sensing imagery or derived vegetation indices and biophysical
products have been shown particularly useful to characterize land ecosystem dynamics …

Remote sensing and GIS are increasingly used as tools for monitoring and managing
forests. Remotely sensed and GIS data are now the data sources of choice for capturing …

This paper introduces a multi-temporal image processing framework towards an efficient
and (semi-) automated detection of urban changes. Nonlinear scale space filtering was …

Multimodal change detection (MCD) has garnered significant interest due to its capacity to
address a variety of emergencies in a timely and effective manner. However, discrepancies …

Scientists and policy makers from various institutions and agencies are currently devoting
substantial time and resources to study the implications of environmental change in forests …

In hyperspectral imaging (HSI), the spatial contribution to each pixel is non-uniform and
extends past the traditionally square spatial boundaries designated by the pixel resolution …

The paper is focused on identifying and evaluation of the processes in the cadastral areas
forming a large part of the Ostrava-Karviná coalfield in the Czech Republic. Seven basic …

Abstract Heterogeneous Remote Sensing Images Change Detection (HRSICD) is a
significant challenge in remote sensing image processing, with substantial application value …