The integration of multi-platform, multi-angle, and multi-temporal LiDAR data has become
important for geospatial data applications. This paper presents a comprehensive review of …

Geometric registration is often an accuracy assurance for most remote sensing image
processing and analysis, such as image mosaicking, image fusion, and time-series analysis …

Characterized by a certain focus on the heavily discussed topic of image fusion in its
beginnings, sensor data fusion has played a significant role in the remote sensing research …

This paper aims to present a review of recent as well as classic image registration methods.
Image registration is the process of overlaying images (two or more) of the same scene …

Extracting well-distributed, reliable, and precisely aligned point pairs for accurate image
registration is a difficult task, particularly for multisource remote sensing images that have …

A synthesis of more than ten years of experience, this book covers methods specifically
designed for remote sensing imagery. The authors supply a comprehensive classification …

Automatic image registration (AIR) is still a present challenge for the remote sensing
community. Although a wide variety of AIR methods have been proposed in the last few …

A new feature-based approach to automated image-to-image registration is presented. The
characteristic of this approach is that it combines an invariant-moment shape descriptor with …

Endovascular surgery has become a popular minimally invasive approach to diagnose and
treat various vascular diseases. However, manipulating conventional passive guidewires …

Remote Sensing image analysis is mostly done using only spectral information on a pixel by
pixel basis. Information captured in neighbouring cells, or information about patterns …