| Paper: | SS-12.2 | ||
| Session: | Hyperspectral Signal Processing | ||
| Time: | Friday, May 19, 16:50 - 17:10 | ||
| Presentation: | Special Session Lecture | ||
| Topic: | Special Sessions: Hyperspectral signal processing | ||
| Title: | REMOTE SENSING AND IMAGE FUSION METHODS: A COMPARISON | ||
| Authors: | Thierry Ranchin, Ecole des Mines de Paris, France | ||
| Abstract: | By fusing two sets of images A and B, one with a high spatial resolution, the other with a low spatial resolution and different spectral bands, the ARSIS concept permits to synthesize the dataset B at the resolution of A with high quality. It tries to establish a relationship between the high frequencies in the multispectral set B and the set A and models it. General problem for the synthesis is presented. General properties of the fused product are given. The ARSIS concept is discussed. The general scheme for the implementation of a method belonging to this concept is presented. It is applied to Ikonos image as an illustration case. The fused products are assessed by means of a known protocol. Results and future tracks are discussed. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012