This tutorial reviews image alignment and image stitching algorithms. Image alignment
algorithms can discover the correspondence relationships among images with varying …

Recent advances in artificial intelligence (AI) have significantly intensified research in the
geoscience and remote sensing (RS) field. AI algorithms, especially deep learning-based …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Stereo matching is one of the most active research areas in computer vision. While a large
number of algorithms for stereo correspondence have been developed, relatively little work …

Artificial" neural networks" are widely used as flexible models for classification and
regression applications, but questions remain about how the power of these models can be …

Although Bayesian analysis has been in use since Laplace, the Bayesian method of model-
comparison has only recently been developed in depth. In this paper, the Bayesian …

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data
in 2001, the field of pattern recognition has expanded in many new directions that make use …

We describe a learning-based method for low-level vision problems—estimating scenes
from images. We generate a synthetic world of scenes and their corresponding rendered …

The Bayesian framework for model comparison and regularisation is demonstrated by
studying interpolation and classification problems modelled with both linear and non-linear …

A general automatic approach is presented for accommodating local shape variation when
mapping a two-dimensional (2-D) or three-dimensional (3-D) template image into alignment …