With the advent of the Internet of Things (IoT) concept and its integration with the smart city
sensing, smart connected health systems have appeared as integral components of the …

In this paper, a novel change detection technique is proposed based on multiscale
superpixel segmentation and stacked denoising autoencoders (SDAE). This approach is …

Convolutional neural networks (CNNs) have been widely used in change detection of
synthetic aperture radar (SAR) images and have been proven to have better precision than …

To improve the accuracy and efficiency of the existing roughness measurement methods, we
propose a new surface roughness measurement technique based on multi-parameter …

This letter presents a novel graph-driven synthetic aperture radar (SAR) image change
detection approach. A hierarchical heterogeneous graph (HHG) is proposed, combining two …

Numerous studies on environmental modeling and ecological process lay emphasis on the
fundamental information of the impervious surface area (ISA). However, accurate ISA …

This research aims to detect subtle changes by combining binary change analysis, the
Iteratively Reweighted Multivariate Alteration Detection (IRMAD), over dual polarimetric …

Change detection in remote sensing images turns out to play a significant role for the
preceding years. Change detection in synthetic aperture radar (SAR) images comprises …

Image classification has been acquiring special importance in the practical applications of
remote sensing. This is done with the extraordinary rise of spatial and spectral resolution of …

Synthetic aperture radar (SAR) image classification is an important part in the understanding
and interpretation of SAR images. Each patch in SAR images has a scene category, but …