Active hyperspectral imaging system and method based on sparse aperture compression calculation correlation

A hyperspectral imaging and sparse aperture technology, which is applied in the field of active hyperspectral imaging systems based on sparse aperture compression and calculation correlation, can solve the problems of high light intensity requirements and high prices of light sources, and achieve breakthroughs in traditional technical bottlenecks, reducing optical noise and Electrical noise, the effect of saving detection dimensions

Active Publication Date: 2013-12-18
NAT SPACE SCI CENT CAS
View PDF0 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the shortcomings of the active hyperspectral imaging system in the prior art, such as high requirements on the light intensity of the light source and high price, so as to provide an active hyperspectral imaging system and method with low cost and high sensitivity

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Active hyperspectral imaging system and method based on sparse aperture compression calculation correlation
  • Active hyperspectral imaging system and method based on sparse aperture compression calculation correlation
  • Active hyperspectral imaging system and method based on sparse aperture compression calculation correlation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention will be further described now in conjunction with accompanying drawing.

[0050] Before describing the present invention in detail, the concepts involved in the present invention will be introduced first.

[0051] Correlative imaging, or ghost imaging (GI), refers to the ability to generate an image of an object on an optical path that does not contain an object, and is one of the frontiers and hotspots in the field of quantum optics in recent years. The concept of ghost imaging was first demonstrated using spatially entangled photon pairs generated by parametric down-conversion. Ordinary ghost imaging, in the object arm, there is an object, but it is detected by a barrel (single pixel) detector without spatial resolution, in the reference arm, there is no object, but a spatially resolved detector is used at the same optical path as the object The detector with the ability detects the changing light field information, and the image can be obtained...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an active hyperspectral imaging system and method based on sparse aperture compression calculation correlation. The system comprises a polarization light source transmitting unit, an expanded beam lens, a fourth collimating lens, a random optical modulation unit, a sparse aperture unit, a free space collimating unit, a light beam reflection unit, a beam spot synthetizing unit, a first lens, a polarization light beam splitter, a completely reflecting mirror, a light expanding collimating unit, a spectral light splitting unit, a convergence light collecting unit, an array light detector and a compression calculation correlation module. The sparse aperture unit comprises at least three sub telescope lens, the free space collimating unit comprises at least three collimating lens, the light beam reflection unit comprises at least three reflection mirror sets, and one sub telescope lens, one collimating lens and one reflection mirror set form a light path.

Description

technical field [0001] The invention relates to the field of sparse aperture active hyperspectral imaging, in particular to an active hyperspectral imaging system and method based on sparse aperture compression calculation correlation. Background technique [0002] Over the past 20 years, hyperspectral remote sensing has developed into a distinctive cutting-edge technology, and has given birth to a new discipline of imaging spectroscopy. Its emergence and development have brought people's ability to observe and understand things through remote sensing technology into another leap, continuing and perfecting the entire image information chain of optical remote sensing from panchromatic through multispectral to hyperspectral. Since hyperspectral remote sensing images provide more abundant information on the earth's surface, they have attracted great attention from scholars at home and abroad, and have developed rapidly. Its application fields have covered all aspects of earth ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01J3/447
Inventor 孙志斌俞文凯代斌刘雪峰翟光杰杨震孟新
Owner NAT SPACE SCI CENT CAS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap