A new space-borne intensity interferometer is discussed in this article. By the virtue of the statistical correlations concerning the fluctuations of photon differential flux due to a large variety of transient astrophysical radiation. Intensity interferometry is able to be used as a promising imaging technique, which is not being restricted by diffraction in optical systems to achieve µas angular resolution. In this contribution, we present a design of telescope array via spacecraft formation flying. An individual telescope consists of an off-axis three-mirror system, Silicon Photomultipliers (SiPM) detectors and electronic trigger systems. The challenge is of high order mutual intensity interfering between sparse apertures under u-v spatial frequency coverage in principle. We optimized the optical performance of SiC mirrors and SiPM light concentrators for intensity interferometry.
The variational method was popular and effective for image fusion in recent years, and it could constraint the geometric and gradient structures in original images according to the variational fusion equation with preserving information terms. The sparse representation was widely used for image decomposition and fused image reconstruction by combining sparse coefficients of multi-source images. Therefore, a new variational image fusion method was proposed by adding an approximated term with sparse representation model. What’s more, the sparse representation fusion was improved with the new coefficient fusion rule, and then was joined within the variational fusion frame. The proposed variational fusion method could approximate multiband images and preserve details. The fusion experiments were performed on GF-2 remote sensing images, and compared with original unimproved methods and some usual fusion methods. The results showed that the new proposed method is better than tested methods in accordance with objective evaluations and subjective visual effects.
Bandelet transform could acquire geometric regular direction and geometric flow, sparse representation could represent signals with as little as possible atoms on over-complete dictionary, both of which could be used to image fusion. Therefore, a new fusion method is proposed based on Bandelet and Sparse Representation, to fuse Bandelet coefficients of multi-source images and obtain high quality fusion effects. The test are performed on remote sensing images and simulated multi-focus images, experimental results show that the performance of new method is better than tested methods according to objective evaluation indexes and subjective visual effects.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.