Name
Abstract | ||
|---|---|---|
Environmental monitoring by means of Remote Sensing methodologies is one of the most interesting and important application field of image processing techniques. In this field, a very important role is played by Synthetic Aperture Radar (SAR) images, that posses an high spatial resolution and that can be produced in all weather conditions. This paper presents a complete digital signal processing chain for the automatic detection of ships in SAR images and for the computation of an estimate of ship velocities. A particular attention has been devoted to two problems: the prefiltering problem which aims to reduce the speckle noise in the image, and the robustness problem that is related to the optimization of the true-target detection/rejection capability. The whole chain has been first simulated and tested on a sequential machine, namely a MicroVAX II, and then it has been ported on a parallel architecture based on a hypercube of IMS T800 transputers. |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1002/ett.4460020612 | EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS |
DocType | Volume | Issue |
Journal | 2 | 6 |
ISSN | Citations | PageRank |
1120-3862 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luciano Alparone | 1 | 901 | 80.27 |
| Fabrizio Argenti | 2 | 174 | 26.24 |
| Giuliano Benelli | 3 | 41 | 15.13 |
| Vito Cappellini | 4 | 521 | 64.85 |
| Alessandro Mecocci | 5 | 60 | 14.38 |