The invention relates to a sparse optical synthetic aperture imaging method based on a subaperture shutter modulation phase difference method, and can be used for detecting aberration of all subapertures of a sparse optical synthetic aperture imaging system, co-phase error of multiple apertures and imaging beam atmospheric turbulence distortion and restoring the high-resolution image of a target in real time. Switching module is performed on each or multiple subapertures of the sparse optical synthetic aperture imaging system in turn by utilizing an electronic shutter, and the corresponding images are recorded by utilizing an image sensor. A series of recorded sub-images are processed by using the phase difference algorithm based on subaperture shutter modulation so that the subaperture aberration, the co-phase error of multiple apertures and the imaging beam atmospheric turbulence distortion can be detected simultaneously, and the high-resolution image of the target can be reconstructed. The sub-images having phase difference are generated by adopting shutter spatial modulation, and aberration detection and image restoration are integrated so that the method has advantages of being high in aberration detection precision, compact in structure, low in cost and convenient to use.

Sparse optical synthetic aperture imaging method based on subaperture shutter modulation phase difference method

The invention relates to a multi-target super-resolution active imaging system and method of an encoding template. The system is composed of a telescope unit, an imaging lens unit, a light expanding collimation unit, a digital microarray reflector unit, a convergent lens unit, a photoelectric detector unit, a compression algorithm module, a decoding and sparse linear algorithm module and an active light source unit. After light of the active light source reflected by an object is received by the telescope and penetrates through an imaging lens and a light expanding collimator, the light is split at a first digital microarray reflector, images are encoded through a second digital microarray reflector, random space modulation is performed on the optical field through a third digital microarray reflector, imaging is carried out through the imaging lens, then, the light is emitted into multiple photoelectric detectors through a convergent lens, corresponding encoding images are reconstructed through the compression algorithm module, low-resolution images are obtained after the encoding images are decoded, a sparse linear equation system is listed for each pixel grey level of all the low-resolution images, and the least square solutions of the sparse linear equation systems are super-resolution images.

Multi-target super-resolution active imaging system and method of encoding template

The invention relates to a coding template multi-target active imaging spectrum system and method The system comprises a telescope unit, an imaging lens unit, a light beam expanding collimation unit, a digital micro-array reflector unit, a converging lens unit, a photoelectric detector unit, a compaction algorithm module, a raster unit, a conversion optical unit and an active light source unit Light reflected by an objected of an active light source and received by a telescopic is subjected to collimation through an imaging lens and light beam expanding, then the light is subjected to beam splitting through a digital micro-array reflector, a first light beam is subjected to random modulation through the digital micro-array reflector and then is converged through a converging lens, then the light beam enters a photoelectric detector, multi-target images are reestablished through the compaction algorithm module, and effective multi-target observing objects are selected for following imaging spectrums A second light beam passes through a raster and is subjected to conversion optical beam splitting changing, then coding template spectrum imaging is achieved through the digital micro-array reflector, and then multi-target spectrum images are reestablished in the same mode as the first light beam

Coding template multi-target active imaging spectrum system and method

The invention discloses a method and system for recognizing biological and non-biological targets based on compression perception. The method comprises the following steps that S1:a target is imaged through an imaging optical path module, and the target image is projected on an aperture encoder; S2:a signal control module generates a corresponding determining matrix mode according to a predetermined feature recognition mode, the aperture encoder is controlled by the determination matrix mode to obtain at least one feature signal to be processed, and the compression calculation and feature recognition of the target image are completed; and S:,an image processing and classifying module is responsible for completing the enlargement, processing, and training, comparing and classifying of the feature signal to be processed, and the final feature signal is obtained. The invention mainly aims at target recognition and compression, and does not need to recover the image, thus further reducing the burden of marine photography, greatly reducing the cost of marine photography, reducing the consumption of hardware, and improving the image transmission speed.

Method and system for recognizing biological and non-biological targets based on compression perception

The invention relates to a coding template multi-target super-resolution imaging system and method. The system comprises a telescope unit, an imaging lens unit, a light beam expanding collimation unit, a digital micro-array reflector unit, a converging lens unit, photoelectric detector units, a compaction algorithm module and a decoding and sparse linear algorithm module. Incident light of the telescopic unit passes through the imaging lens unit and the light beam expanding collimation unit, then the light is subjected to beam splitting through a first digital micro-array reflector, image coding is carried out through a second digital micro-array reflector, light field random space modulation is carried out through a third digital micro-array reflector, imaging is carried out through an imaging lens, convergence is carried out through the converging lens unit, the light enters the multiple photoelectric detectors, corresponding coding images are reestablished through the compaction algorithm module, low-resolution images are obtained after coding image decoding, a sparse linear equation system of each pixel gray level value of all the low-resolution images is listed, and the least square solutions of the sparse linear equation systems are super-resolution images.

Coding template multi-target super-resolution imaging system and method

Compressed-sensing-based sparse aperture imaging system and method

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Compressed-sensing-based sparse aperture imaging system and method