This letter presents a novel method for the description of multispectral image keypoints. The
method proposed is based on a modified SIFT algorithm. It uses normalized gradients as …

This paper focuses on image matching between satellite imagery and aerial photographs of
agriculture land. Feature points are used for image matching. The satellite imagery and …

Feature points are effective for wide range of computer vision applications. In the last two
decades, a large number of feature point detection and description algorithms have been …

Real time systems must respect their temporal constraints both in nominal and degraded
conditions. Environment disturbances cause faults which are revealed by errors during task …

Textural and intensity changes between Visible Spectrum (VS) and Infra-Red (IR) images
degrade the performance of feature points. We propose a new method based on a …

Rapid advancement in remote sensing sensors has resulted in an enormous increase in the
use of satellite imagery (SI) and images taken from unmanned aerial vehicles (UAVs) in a …

Establishing cross-spectral feature point correspondences is a challenging problem due to
high textural and intensity changes between multisensor images. To overcome such …

Pattern detection is a well-studied area of computer vision, but still current methods are
unstable in images of poor quality. This thesis describes improvements over contemporary …

Scene acquisition using RGB and Near Infra-Red (NIR) filters generates useful visual
information about scene contents. But it induces significant intensity and textural changes …

An interesting problem in Computer Vision is the construction of local image descriptors. It
deals with the description of intensity patterns within image patches. Image patches are local …