5results about How to "Improve conversion accuracy" patented technology

The application provides a real-time conversion method for pixels and geographic latitude and longitude in low-altitude photogrammetry, which comprises the following three parts: unmanned aerial vehicle capability confirmation, real-time conversion service implementation deployment for pixels and geographic latitude and longitude in low-altitude photogrammetry, and GIS geographic information platform integration docking. Through real-time data collected by an unmanned aerial vehicle, combined with a computer vision algorithm and a spatial geometric transformation model, the specific pixel points in image data are associated with real geographic coordinates, so that accurate positioning and measurement of ground objects are realized. The application relates to the technical field of low-altitude photogrammetry, and through the cooperative work of real-time data collection by an unmanned aerial vehicle, real-time conversion service for pixels and geographic latitude and longitude in low-altitude photogrammetry, and a GIS geographic information platform, efficient mapping from a photographed image to a geographic coordinate is realized, and accurate and rapid technical support is provided for low-altitude photogrammetry.

This invention provides an image conversion system and method between Bayer format and quad Bayer format. The system includes an image acquisition module that acquires an original Bayer format image and an original quad Bayer format image; a re-mosaic module that converts the original quad Bayer format image and the generated quad Bayer format image into a Bayer format image; a de-mosaic module that converts the original Bayer format image and the generated Bayer format image into a quad Bayer format image; and an image output module that outputs the generated quad Bayer format image and the Bayer format image. By unifying the re-mosaic and de-mosaic processes within the same system framework, the correlation between Bayer and quad Bayer formats can be better captured, and information loss during format conversion can be effectively reduced. The repeated re-mosaic and de-mosaic processes can also enhance each other, improving the conversion accuracy and quality, thus solving the problem of poor performance in existing Bayer and quad Bayer format image conversion methods.

The application discloses a tone conversion method and device, a storage medium and computer equipment, relates to the technical field of artificial intelligence, and mainly aims at improving the conversion accuracy of tone. The method comprises the following steps: obtaining audio data to be converted and a target tone; inputting the audio data to be converted into a preset semantic prediction model for semantic prediction to obtain a semantic information vector corresponding to the audio data to be converted; determining a tone feature vector corresponding to the target tone; performing cross processing on the semantic information vector and the tone feature vector to obtain a tone cross feature vector; inputting the tone cross feature vector into a preset tone conversion model for tone conversion to obtain target audio, wherein the target audio is audio with the target tone and the original tone of the audio data to be converted. The application is suitable for converting tone.

This invention discloses a method and system for time-scale conversion of parameters in high-frequency real-time flood forecasting models. Addressing the technical shortcomings of hydrological model parameters in minute-level, sub-hourly, and hourly high-frequency forecasting scenarios, such as significant time-scale effects, low efficiency of multi-scale independent calibration, and poor accuracy of direct parameter transfer, this invention constructs multi-time-scale hydrological and meteorological parameter sample sets, establishes a parameter time-scale sensitivity function to screen sensitive parameters, structurally identifies parameter scale variation patterns, constructs quantitative conversion relationships that consider both hydrological physical meaning and value boundaries, forms an expandable parameter conversion knowledge base, and achieves cross-scale and cross-basin adaptive parameter migration, ultimately completing high-frequency real-time flood forecasting and accuracy verification. This invention can quickly achieve multi-scale parameter conversion at 15-minute, 30-minute, and 1-hour scales, with the converted forecast NSE consistently above 0.9, significantly reducing parameter calibration workload and improving the deployment efficiency and simulation accuracy of high-frequency flood forecasts.