This paper proposes a systematic image mosaicking methodology to produce hyperspectral for environment monitoring using an emerging UAV-based push-broom imager. The suitability of alternative methods in each step is assessed by experiments urban scape, river course and forest study area. First, the strips were acquired sequentially stitching UAV images scanning along flight line. Next, direct g...

The problem of model parameters estimation from data with a presence of outlier measurements often arises in computer vision and methods of robust estimation have to be used. The RANSAC algorithm introduced by Fishler and Bolles in 1981 is the a widely used robust estimator in the field of computer vision. The algorithm is capable of providing good estimates from data contaminated by large (eve...

We present a novel method for tracking multiple objects in video captured by a non-stationary camera. For low quality video, ransac estimation fails when the number of good matches shrinks below the minimum required to estimate the motion model. This paper extends ransac in the following ways: (a) Allowing multiple models of different complexity to be chosen at random; (b) Introducing a conditi...

As an important and fundamental step in 3D reconstruction, point cloud registration aims to find rigid transformations that register two sets. The major challenge techniques is finding correct correspondences the scenes may contain many repetitive structures noise. This paper primarily concerned with improving using a priori semantic information search for correspondences. In particular, we pre...

Fisheye cameras are widely used in visual localization due to the advantage of wide field view. However, severe distortion fisheye images lead feature matching difficulties. This paper proposes an IMU-assisted image method called spherically optimized random sample consensus (So-RANSAC). We converted putative correspondences into spherical coordinates and then inertial measurement unit (IMU) pr...

Natural Image Mosaicing based on Redundant Keypoint Elimination Method in SIFT algorithm and Adaptive RANSAC method

Stochastic diffusion search (SDS) is a multi-agent global optimisation technique based on the behaviour of ants, rooted in the partial evaluation of an objective function and direct communication between agents. Standard SDS, the fundamental algorithm at work in all SDS processes, is presented here. Parameter estimation is the task of suitably fitting a model to given data; some form of paramet...

A method called σ-consensus is proposed to eliminate the need for a user-defined inlier-outlier threshold in RANSAC. Instead of estimating σ, it is marginalized over a range of noise scales using a Bayesian estimator, i.e. the optimized model is obtained as the weighted average using the posterior probabilities as weights. Applying σ-consensus, two methods are proposed: (i) a postprocessing ste...

There are significant background changes and complex spatial correspondences between multi-modal remote sensing images, it is difficult for existing methods to extract common features images effectively, leading poor matching results. In order improve the effect, with high robustness extracted; this paper proposes a multi-temporal algorithm CMRM (CNN matching) based on deformable convolution cr...