Contouring of satellite images for fishing information.

Multi Resolution Fuzzy Segmentation of Satellite Images

Derivation of Motion Vectors from Sequential Satellite Images using Vague Contouring

* Corresponding author. ** Supported by Russian Foundation for Basic Research (RFBR) projects 03-01-00812, 04-01-00683 Abstract – A relaxation-contour method for retrieving motion vectors from sequential satellite images is presented. The contour part explores image contours (level set) to extract targets (extreme points on these contours). Motion vectors are derived by examining the correspond...

Integration of Global Information for Roads Detection In Satellite Images

Several diiculties are met when detecting roads in satellite images. They are due to the poor quality of existing information and may be solved by using global information. Dynamic programming is popular in line detection, but deals awkwardly with global information due to its constraints on the decision process and to the local nature of the cost. There are various ways to integrate global inf...

Auto-adaptive Information-fusion for Satellite Images Classiication

We present in this paper the use of two auto-adaptive information-fusion methods for a satellite image classi-cation problem. These methods come from possibility theory. Several information-fusion methods are available for diierent kinds of problems. Auto-adaptive fusion allows to have a fusion which modiies its behaviour according to information to be merged. It has a conjunctive behaviour whe...

Recovery of satellite images using edge information of actual image

A deblurring algorithm is presented to restore the degraded images by the Atmospheric turbulence or the imaging systems. Coefficients of proposed filter model adaptively converge to the model parameter of blur function in a given time duration. Algorithm estimates the best filter coefficients using edge information of actual image. Results illustrate the performance of the proposed method.