42 results about "Cloud top" patented technology

The present invention is directed toward specially tinted lenses for use in flying airplanes. In the present invention, the far field of vision is highly tinted to reduce the light from a sunlit sky, over sunlit cloud tops, or in clouds. This enables an aircraft pilot to easily see out of the cockpit into highly illuminated environments. The intermediate field of vision is essentially clear to enable the pilot to easily see a dimly illuminated instrument panel as compared to outside the aircraft. The near field of vision may have a range of tinting from clear to up to a medium tinted value for reading maps and other material. In addition, the change in tinting is discontinuous, that is, sharp, from one field of vision to another. The present invention works because the aircraft structure, that is, the nose and instrument panel, blocks outside light from coming into the intermediate field of vision where the lens is clear.

A specially tinted lens, a tri-colored lens for spectacles and sunglasses for use in flying airplanes. A far field of vision has a first tinting, such as green, to reduce the light from a sunlit sky, over sunlit cloud tops, or in clouds, which enables an aircraft pilot to easily see out of the cockpit into highly illuminated environments. An intermediate field of vision has a second tinting, such as yellow, to enable the pilot to easily see a dimly illuminated instrument panel as compared to outside the aircraft. A near field of vision has a third tinting, such as neutral in color, to enable said pilot to easily view maps and other information.

The invention discloses a ground surface temperature inversion method based on mid-infrared and thermal infrared data. The steps include: 1) simulating the cloud top brightness temperature of mid-infrared and thermal infrared channels under different combination conditions of atmosphere, surface and observation angles, and generating simulated Data set; 2) Divide the simulated data in the simulated data set into several sub-intervals according to the water vapor content of the atmospheric column, the cloud top brightness temperature and the observation angle; 3) Combining the principle of the split window algorithm to construct the surface temperature reflections of the daytime data and nighttime data respectively 4) Using the surface temperature inversion algorithm of daytime data and the surface temperature inversion algorithm of nighttime data to calculate the actual remote sensing image to be processed, according to the water vapor content of each pixel of the actual remote sensing image, cloud top brightness temperature and observation angle Select the corresponding surface temperature inversion algorithm coefficients for the corresponding sub-intervals, and then combine the surface classification products to obtain the surface emissivity of the actual remote sensing image, and obtain the surface temperature inversion results. The invention can acquire high-precision ground surface temperature.

The invention provides a cloud sea natural landscape forecast method and system. The method provided by the invention comprises the steps that intraday first meteorological data acquired by a first automatic meteorological station are acquired, wherein the first automatic meteorological station is located at the height of cloud top above cloud sea; intraday second meteorological data acquired by a second automatic meteorological station are acquired, wherein the second automatic meteorological station is located in cloud sea; intraday weather forecast data released by the meteorology bureau are acquired; intraday cloud sea condition is acquired; according to the first meteorological data, the second meteorological data, the weather forecast data and the intraday cloud sea condition, the value of each independent variable in a forecast equation is acquired; and the forecast equation is input to acquire the cloud sea forecast result of the second day, wherein the forecast equation is acquired in advance through logistics regression analysis. The method and system can provide cloud sea landscape probability forecast of high accuracy rate, facilitate the travel plan of passengers and photographers, and promote the development of the local tourism industry.

The present invention discloses a cloud image retrieval method based on a shape feature. In effective combination with brightness temperature information of a cloud top of a cloud image, a cloud system is segmented by using an iteration threshold segmentation method; and a shape feature of the cloud system is extracted by using a geometric invariant moment that is relatively low in computational complexity and strong in robustness, thereby overcoming difficulty in analyzing the cloud image by using a conventional cloud image retrieval method based on the shape feature, and especially overcoming problems of method universality, computational complexity and robustness. In addition, according to the method, a bottom cloud image feature is transformed from euclidean space to sparse space, and a cloud image database is retrieved by using a distribution rule of the sparse space, thereby effectively alleviating a semantic gap problem of a conventional retrieval method.