Accurate point matching is a critical and challenging process in feature-based image
registration. In this paper, a simple and robust feature point matching algorithm, called …

In this paper we introduce a new theory of blur invariants. Blur invariants are image features
which preserve their values if the image is convolved by a point-spread function (PSF) of a …

A new technique is proposed for multisensor image registration by matching the features
using discrete particle swarm optimization (DPSO). The feature points are first extracted from …

This paper investigates a novel approach for point matching of multi-sensor satellite
imagery. The feature (corner) points extracted using an improved version of the Harris …

In this paper, we propose a new registration method designed particularly for registering
differently blurred images. Such a task cannot be successfully resolved by traditional …

Image registration is a crucial progress in detecting oil spilled on the sea and is also
important for estimating the volume of the oil spill, especially when one image cannot cover …

This paper investigates a new approach for point matching in multi-sensor satellite images.
The feature points are matched using multi-objective optimization (angle criterion and …

A new multi-sensor image registration technique is proposed based on detecting the feature
corner points using modified Harris Corner Detector (HDC). These feature points are …

KOMPSAT-2 like other high-resolution satellites has the time and angle difference in the
acquisition of the panchromatic (PAN) and multispectral (MS) images because the imaging …

The integration of optical and radar sensors in a common area is an important task in data
fusion as well as other applications. The objective of this study is to perform the feature …