In some remote sensing applications, such as unsupervised change detection, bitemporal
multispectral images must be first aligned/harmonized radiometrically. For doing so, Many …

A new computational intelligence technique is presented for solution of non-linear quadratic
Riccati differential equations of fractional order based on artificial neural networks (ANNs) …

In this article, we propose a novel framework to radiometrically correct unregistered
multisensor image pairs based on the extracted feature points with the KAZE detector and …

Robust, well-distributed and accurate feature matching in multi-sensor remote sensing
image is a difficult task duo to significant geometric and illumination differences. In this …

Efforts have been made to detect both naturally occurring and anthropogenic changes to the
Earth's surface by using satellite remote sensing imagery. There is a need to maintain the …

Relative radiometric normalization (RRN) is a critical preprocessing step that is widely
applied to remote sensing data. Essential to RRN are the pseudo-invariant features (PIFs) …

This article presents a new relative radiometric normalization (RRN) method for
multitemporal satellite images based on the automatic selection and multistep optimization …

In this study, the wear properties of the SiC particle reinforced aluminium (A356) composite
materials (MMCs), produced with thixomoulding method, were investigated both by …

Feature extraction plays an important role in pattern recognition because band-to-band
registration and geometric correction from different satellite images have linear image …

Multitemporal very-high-resolution (VHR) satellite images are used as core data in the field
of remote sensing because they express the topography and features of the region of …