This chapter delivers a novel explanation quantized theory behind remote sensing. In this perspective, the quantized of Maxwell's Equations are addressed. This chapter also addressed a new definition of remote sensing. Needless to say, remote sensing is the quantum information amassed from any object on the ground or space owing to the reflection or backscattering of photons, which is a function of the quantum mechanical properties of every object's atoms. In this understanding, different object atoms would interact with photons, i.e., absorption and emission as a function of their different wavelengths and frequencies under circumstances of the uncertain principle of Heisbenger. This new definition of remote sensing delivers a new era of quantum image processing to obtain accurate information about the universe. The uncertainty of conventional remote sensing image processing could be issued owing to conventional computing techniques which are based on the classical computer system i.e. bit. It is also understanding quantum remote sensing technology based on Marghany's [ 33 ] definition, many mysteries in atmospheric turbulence can be tackled. In this regard, the next chapter will deliver answers to the mysteries of the High-Frequency Active Auroral Research Program (HAARP) impacts on the ionospheric layer.
This chapter delivers a novel explanation quantized theory behind remote sensing. In this perspective, the quantized of Maxwell's Equations are addressed. This chapter also addressed a new definition of remote sensing. Needless to say, remote sensing is the quantum information amassed from any object on the ground or space owing to the reflection or backscattering of photons, which is a function of the quantum mechanical properties of every object's atoms. In this understanding, different object atoms would interact with photons, i.e., absorption and emission as a function of their different wavelengths and frequencies under circumstances of the uncertain principle of Heisbenger. This new definition of remote sensing delivers a new era of quantum image processing to obtain accurate information about the universe. The uncertainty of conventional remote sensing image processing could be issued owing to conventional computing techniques which are based on the classical computer system i.e. bit. It is also understanding quantum remote sensing technology based on Marghany's [ 33 ] definition, many mysteries in atmospheric turbulence can be tackled. In this regard, the next chapter will deliver answers to the mysteries of the High-Frequency Active Auroral Research Program (HAARP) impacts on the ionospheric layer.
There is no gap between Maxwell’s equations and quantum mechanics. However, it is required to understand the relationship between quantum mechanics, Maxwell’s equations and applied remote sensing especially microwave remote sensing. This chapter attempts to deliver a wide understanding of Maxwell’s equations from the point of view of quantum mechanics. In fact, recent advanced computing tools are reconstructed based on quantum computing. In the next chapters, quantum algorithms will be implemented for automatic detection of the oil spill in radar images.
Remote sensing is an advanced technology to explore the space and acquire earth-space information, with its accurate, comprehensive and dynamic detection and observation ability, RS plays an key role in earth observation, national defense, aerospace and deep space exploration. The advancement of science and urgent demands in economy and other fields put forward higher requirements for RS. Firstly, some important theoretical issues need to be addressed, such as RS information theory, spectral imaging mechanism, electromagnetic radiation transmission model. Secondly, the resolution power of RS instruments and their ability to utilize information needs to be improved. Finally, more detailed and richer RS information is needed during application. Of all these requirements, higher resolution, spectrum resolution, time resolution and further applications of RS are extremely important. While quantum remote sensing (QRS) performs very well in these aspects. QRS study was began in March, 2000, the concept was proposed in early 2001, then QRS technology researches began. The paper firstly introduces its background, concept and research status, its differences and advantages. Then it elaborates QRS research theoretical basis, information mechanism, quantum spectrum imaging research progress of QRS imaging processing. Besides, it emphasizes QRS imaging experimental process, based on which, technical solutions and design of satellite borne QRS active imaging technology and quantum laser radar engineering prototype were proposed, providing technical basis for their application. QRS imaging technology can significantly improve the signal-to-noise ratio and space resolution. Finally, the paper summarizes the researches over the past nineteen years and plans for the future.
Remote sensing provides a powerful tool for human to explore the environment around us from multidimensional perspective and macroscopic view. As marrow of remote sensing, remote sensing information is about the message of light or electromagnetic wave obtained by remote sensing platform. Quantum remote sensing reveals remote sensing theories and methods in quantum level. Quantum remote sensing information is about how to express and transmit information by quantum state. Quantizing remote sensing radiation field is its main basis. Based on J-C model, which describes interaction between single mode light field and a two-level atom, expressions of operators correlated with light field can be obtained through state vector of atom-light field coupling system and Schrodinger equation. Both analysis and calculations show that quantum fluctuation of the light field can be squeezed. Numerical simulation is used to study the variation of quantum fluctuation, which deepens our understanding of quantum remote sensing information.
This chapter is devoted to quantize the radar. In other words, the quantum radar is introduced to obtain a new view of the radar theory. Indeed, microwave photons were quantized in the earlier chapters. In this regard, the radar theory which is based on the scattering theory can be tackled from the point of view of the quantum mechanics. This chapter attempts to answer this question in the form of the mathematical equations. In doing so, the Entangled quantum is introduced to understand the radar theory in the view of a quantum mechanics. This chapter also delivers the radar quantum equation. The new concept of the quantum radar illumination is also proposed.
Based on the development and application needs, Professor Siwen Bi has proposed quantum remote sensing (QRS) in the early 2001. Firstly, the paper introduces the background, concept and research status at home and abroad of quantum remote sensing, it also introduces the differences and advantages of quantum remote sensing compared with the classical remote sensing. Then it elaborates wave-particle duality, Superposition State, Tunneling Effect of QRS research basis and quantum entanglement, its basic theory and information mechanism, as well as the research progress of QRS imaging processing, quantum spectrum remote sensing and QRS calibration. Besides, it emphasizes the experimental process of QRS imaging and the production of principle prototype, based on which, Professor Bi proposed active imaging information transmission technology of satellite borne QRS technical solutions and conducted research on its system composition and working principle, squeezing light preparation of active imaging, injection device and quantum non-noise amplifier device, providing solutions and technical basis for realizing active imaging technology of satellite-borne QRS. The QRS imaging technology can significantly improve the signal-to-noise ratio and space resolution of QRS imaging information transmission. Finally, the paper summarizes the research conditions over the past eighteen years and plan for the future.
Quantum entanglement that does not exist in classic world suggests disruptive quantum image/signal processing and wireless sensing techniques beyond the frontier of classic image/signal processing and sensing. By showing the fundamental difference between classic and quantum techniques, this paper comprehensively explains the principles and mechanisms of quantum wireless ghost imaging, quantum radar, and secure quantum remote sensing, with suggestions toward future technological opportunities in communication and signal processing.