We describe here a multiband all sky monitoring system under construction using amateur resources. The system
consists of a data management center and a network of telescopes. The total number of telescopes in this network can be
huge and all the telescopes are not affected by their local weather or their operability so this network is capable of
monitoring the whole night sky simultaneously in many different bands. The telescopes in the network can be operated
on an individual basis or on a coordinated mode. The data taken by the telescopes in the network are sent to the data
management center via internet where calibration, data fusion, data analysis are performed.
In infrared scanning imaging system, long linear-array detector is needed for large field of view. Instead of using long
linear-array detector, we couple a non-conventional Infrared (IR) fiber bundle to a small scale Infrared Focal Plane Array
(IRFPA) whose format is 320×256 in system to implement 1024×4 format linear array imaging. The input of fiber bundle
is long linear array while output is plane-array. Fibers in IR fiber bundle are one to one mapping. Input end of fiber
bundle is set at the focal plane of telescopic objective in system, and output end is coupled to IRFPA by coupling lens.
By calibrating the position of each fiber in IRFPA, together with the mapping relationship between input and output of
fiber bundle, a look up table is established. With the table, we can reconstruct the line object image. According to the
scanning period of system, we can get the infrared scanning image.
This paper analyzed the structural and imaging features of off-axis three-mirror system, discussed the design method of
the multi-channel off-axis three-mirror system. A new three-channel off-axis TMA optical system was designed using
channel spectral separation. The system parameters are as follows: aperture is 300mm, FOV is 2°×2°, covering three
spectral bands. According to the primary aberration theory, an appropriate initial configuration can be obtained. By
optimizing the initial configuration, we can get an optical system which meets the imaging quality requirement. The
design of relay lenses was also considered, the ultimate goal is to complete the design of each channel with the least
number of lens.
Nowadays the remote sensing instruments require relatively larger FOV and higher LOS pointing accuracy. However, the
traditional scanning model can only have a relatively small scanning area. As the scanning area increases, the image
rotation will increase rapidly. The traditional two-dimensional scanning model has failed to meet the growing demands
of remote sensing instruments. To solve the problem, in this paper, the differences of all kinds of two-dimensional
scanning method are analyzed and compared, and different ways to place and rotate two-dimensional scanning mirror are
also considered. Finally, through analysis, a kind of two-dimensional scanning model which meets the large area
two-dimensional scanning requirements was obtained. At the same time, the image rotation of large area
two-dimensional scanning model is analyzed, which provides data support for image processing.
With the development of high performance focal plane arrays (FPAs) which provide very good sensitivity, operability, and excellent image quality, FPAs are applicable to wide-field-of-view, long range surveillance and targeting missions. However, many applications, like space- and air-borne surveillance telescopes, emphasize wide field of view (FOV) over resolution, permitted the most rapid survey of the entire field of regard. This is typically limited by large, complex, and costly corrector optics to flatten the wavefront. An alternative approach is to design a curved focal plane to alleviate the designing burden of optical system. Conventional approach is by the way of providing the ability to produce FPAs with a specified degree of curvature while preserving required electro-optical characteristics. This paper presents a novel method by utilizing spot-to-curved-line converter based on normal FPAs.
With the development of high performance focal plane arrays (FPAs) which provide very good sensitivity, operability, and excellent image quality, FPAs are applicable to wide-field-of-view, long range surveillance and targeting missions. However, many applications, like space- and air-borne surveillance telescopes, emphasize wide field of view (FOV) over resolution, permitted the most rapid survey of the entire field of regard. This is typically limited by large, complex, and costly corrector optics to flatten the wavefront. An alternative approach is to design a curved focal plane to alleviate the designing burden of optical system. Conventional approach is by the way of providing the ability to produce FPAs with a specified degree of curvature while preserving required electro-optical characteristics. After brief introduction normal FPAs based novel method in virtue of spot-to-curved-line converter, the paper presents the dynamic performance analysis of this Curved focal plane compensation imaging system in detail.
An evolution model of data fusion system based on evolution procedure of nervous system is proposed. There are lots of similar characteristics between the evolution of nervous system and the development of data fusion system. It is reasonable to try to find guidelines in the theory of nervous system. For example, the function and structure of data fusion nodes almost take a same role as neurons in nervous system do, so we name the data fusion nodes as data fusion units. Just as the nervous system, the basic evolution architectures of data fusion system include four phases: Chaos (Autonomous), Fully Distributed, Centralized, and Internal Model Based Hierarchical. In the last phase of evolution, interface among unites become independent intelligent parts step by step. It provides a more flexible hierarchical data fusion architecture, which makes it be possible to simulate the regulation and adaptation mechanism of nervous system. The application analyses of these mechanisms to the data fusion systems proved that this dynamic hierarchy architecture is capable of deciding not only what to fuse and how to fuse but also when to fuse.
When intercepting and tracking low-observable point-source or highly maneuvering big targets, the electro-optical (E-O) system will meet a fatal problem that the target lost easily. No effective method intercepts it again according to the dispersed azimuth and elevation tracking data. First, the paper gives an intelligent ATP control system architecture based on the data mart. Then an automatic real-time control algorithm is proposed, which is found on linguistic cloud model and fuzzy logic techniques. The linguistic cloud model is used to translate a linguistic term of qualitative concept into its numerical representation, such that the ATP control system can take full advantage of a priori knowledge which is always presented in natural language to refine the results of sequence images processing. The fuzzy logic technique is adopted to associate these results to target's trajectories. The paper offers an automatic reacquisition and tracking method to solve the targets lost problem.
Considering system stability, the tracking servo system of electro-optical theodolite is often designed as type I servo system. In principle steady state velocity error and acceleration error exist in it. Especially when tracking fast moving targets, the tracking error will become bigger. To minimize the tracking error a higher order servo system can be used. However, it is very difficult to keep such servo system stable. In this paper a kind of dynamic type II servo system according to Fuzzy logic theory was designed to solve the above contradiction successively.