Company Filing History:
Years Active: 2001-2011
Title: The Innovations of Bernard Rouge
Introduction
Bernard Rouge is a notable inventor based in Toulouse, France. He has made significant contributions to the field of image processing and satellite observation. With a total of 3 patents to his name, his work has advanced the technology used in stereoscopic imaging and satellite imagery.
Latest Patents
Bernard Rouge's latest patents include innovations such as "Fine stereoscopic image matching" and "Image acquisition by push-broom scanning." The first invention relates to a method and system for acquiring and correlating points from a stereoscopic pair of images. This method utilizes a single acquisition instrument equipped with two CCD sensors in the optical focal plane. The correlation process determines homologous points between the two images, ensuring accurate matching and rejecting erroneous points through a systematic approach.
The second patent improves the method of acquiring and processing satellite observation images of Earth. It employs a matrix of charge-coupled device detectors to sample pixels as they traverse an observed area. This method adheres to Shannon's condition, allowing for noise-reduced image interpolation at a resolution that corresponds to the sampling subarray.
Career Highlights
Bernard Rouge is associated with the Centre National d'Études Spatiales, where he has contributed to various projects related to space and satellite technology. His expertise in image processing has positioned him as a key figure in advancing the capabilities of satellite imagery.
Collaborations
Some of his notable coworkers include Jean-Michel Morel and Christophe Latry. Their collaborative efforts have further enhanced the research and development in the field of satellite observation and image processing.
Conclusion
Bernard Rouge's innovative work in stereoscopic imaging and satellite observation has made a significant impact in the field. His patents reflect a commitment to advancing technology and improving image acquisition methods.