Adaptive atmospheric correction method of hyperspectral satellite based on prior ground object spectral matching

    公开(公告)号:US12039775B1

    公开(公告)日:2024-07-16

    申请号:US18488063

    申请日:2023-10-17

    申请人: WUHAN UNIVERSITY

    IPC分类号: G06V20/10 G06V20/13

    摘要: The present disclosure provides an adaptive atmospheric correction method of hyperspectral satellite based on prior ground object spectral matching. The method includes: establishing an adaptive atmospheric parameter retrieval algorithm of hyperspectral satellite data; based on the estimation algorithm of the integrated atmospheric column water vapor content, using a function between a linear regression band ratio and a water vapor content for estimation; in the aerosol optical depth estimation method of the hyperspectral data, using the rich spectral information of the hyperspectral data to perform AOD iterative estimation with the ground object spectral library as prior knowledge in combination with spectral matching, and establishing an atmospheric correction algorithm combining with an MODTRAN radiative transfer model. The method is applicable to hyperspectral data characteristics and has high accuracy; and without depending on external auxiliary data, atmospheric correction can be completed automatically.

    Method and system for multicarrier signal tracking based on deep learning and high precision positioning

    公开(公告)号:US12003351B2

    公开(公告)日:2024-06-04

    申请号:US18454851

    申请日:2023-08-24

    申请人: Wuhan University

    IPC分类号: H04L25/02 H04L5/02

    CPC分类号: H04L25/0254 H04L5/023

    摘要: The present invention discloses a method and system for multicarrier signal tracking based on deep learning and high precision positioning. Using the data characteristics of S-curve, and using S-curve which contains multipath signals as feature data for training deep learning networks under different signal-to-noise ratios. The delay regression results of receiving signal can be directly obtained by the S-curve of real-time receiving signal and the pre-trained network. The motivation of this method is to fully utilize the advantages of deep learning networks in accurately regressing complex problems with a large amount of data, fundamentally solving the impact of multipath signals on the delay estimation of the main path signal in traditional software defined receivers, extracting the corresponding relationship between the delay of main path and S-curve under the influence of different signal-to-noise ratios and different multipath signals.

    PROCESSING METHOD FOR GRAPHITE ACID PURIFICATION WASTEWATER

    公开(公告)号:US20240158274A1

    公开(公告)日:2024-05-16

    申请号:US18346262

    申请日:2023-07-02

    IPC分类号: C02F9/00 F01D15/10

    摘要: The application discloses a processing method for graphite acid purification wastewater which comprises processing steps of neutralization and precipitation preprocessing, supernatant electrically distilling and vaporizing, electric energy recycling, condensate recycling and vaporization residue regularly discharging. The processing method performs neutralization and precipitation preprocessing to obtain neutralized supernatant, pumps the supernatant into an electric distiller to be vaporized and obtain electric energy for recycling through steam turbine, and acquires vaporization condensate by residual heat exchange. The vaporization condensate reaches the standard of graphite acid purification impurities such as fluorine, chlorine, aluminum, silicon, iron, magnesium, copper, and zinc and the wastewater discharge standard. The steam heat energy can be recycled and transformed into electric energy to save processing cost. Meanwhile, the vaporization condensate can also be used in the graphite purification process to save water resources, which is not only environmentally friendly and efficient, but also intensively economical.

    Method for testing surface energy of aggregate based on static drop method

    公开(公告)号:US11982608B2

    公开(公告)日:2024-05-14

    申请号:US17826171

    申请日:2022-05-27

    IPC分类号: G01N13/02

    CPC分类号: G01N13/02 G01N2013/0208

    摘要: Disclosed is a method for measuring surface energy of aggregates based on static drop method, comprising (1) aggregates grinding and pretreatment; (2) obtaining the surface texture index; (3) calculating the surface energy based on static drop method experiment; (4) fitting to obtain a functional relationship between the surface texture index and surface energy; (5) calculating the surface energy of the original aggregate. The method considers the influence of the grinding process on the surface texture of the aggregates when measuring the surface energy of the aggregates, which significantly improves the accuracy of the static drop method test. The static drop method can be used to replace the vapor adsorption method to test the surface energy of aggregate, and the low-cost optical contact angle instrument can replace the expensive magnetic suspension weight balance system to test the surface energy of aggregate, which greatly reduces the test cost.

    Unmanned surface vehicle control method based on switching T-S fuzzy system under DoS attack

    公开(公告)号:US11921505B2

    公开(公告)日:2024-03-05

    申请号:US17296980

    申请日:2020-11-18

    摘要: The present invention discloses a collaborative design method using an event-triggered scheme (ETS) and a Takagi-Sugeno (T-S) fuzzy H∞ controller in a network environment. For the problem about the unmanned surface vehicle control based on a switching T-S fuzzy system under an aperiodic DoS attack, the present invention provides an H∞ controller design method based on the event-triggered scheme. The characteristics of the unmanned surface vehicle system under the DoS attack are analyzed, and external disturbance in the navigation process is added into an unmanned surface vehicle motion model to establish an unmanned surface vehicle switching system model. The stability of the system is analyzed by piecewise Lyapunov functionals, such that controller gain and event-triggered scheme weight matrix parameters are obtained, thus ensuring that a networked unmanned surface vehicle navigation system has the ability to resist the DoS attack and the external disturbance.

    Method and system for diagnosing open-circuit fault of power switching device of three-phase three-level rectifier

    公开(公告)号:US11874336B2

    公开(公告)日:2024-01-16

    申请号:US17494847

    申请日:2021-10-06

    申请人: WUHAN UNIVERSITY

    摘要: A method and a system for diagnosing a fault of a three-phase three-level rectifier are relate to the technical field of fault diagnosis of power electronic equipment, and provided to implement identification and location of an open-circuit fault of a power switching device thereof. A deviation between an expected value and an actual value of a phase-to-phase voltage is adopted as a diagnosis variable. The diagnosis variable is calculated by adopting a screening technique, thereby reducing calculation error to ensure accuracy of diagnosis. Only existing voltage current signals in a control system of the rectifier are required to calculate the diagnosis variable, so no additional hardware is required and low-cost fault diagnosis can be implemented. Different voltage thresholds are adopted for different fault characteristic sections, and the voltage thresholds are updated in real time according to a direct current side voltage, which improves diagnosis speed while ensuring higher robustness.

    SHORT-PROCESS HIGH-PERFORMANCE FORMING METHOD OF HIGH-STRENGTH ALUMINUM ALLOY, AND USE THEREOF

    公开(公告)号:US20230416895A1

    公开(公告)日:2023-12-28

    申请号:US18208264

    申请日:2023-06-10

    IPC分类号: C22F1/04 C21D9/46 C22F1/00

    CPC分类号: C22F1/04 C21D9/46 C22F1/002

    摘要: The present disclosure provides a short-process high-performance forming method of a high-strength aluminum alloy, and use thereof. In the present disclosure, pre-hardening treatment is conducted on an obtained W-temper aluminum alloy sheet blank after a solution treatment and quenching, to obtain a pre-hardened aluminum alloy sheet blank for batch supply. The pre-hardened aluminum alloy sheet blank is subjected to plastic forming, to obtain a component with satisfactory performances. After the pre-hardening treatment, a high-strength aluminum alloy sheet blank forms a GPII zone that is completely coherent with a matrix, and has a room-temperature formability exceeding that off traditional soft sheet blank. Moreover, the GPII zones interact with dislocations during the forming, resulting in planar slips. In this way, large-scale dynamic recovery is more effectively suppressed, thus enhancing a work hardening ability of a formed component. In addition, a large number of nano-stacking faults are generated during deformation.

    METHOD FOR DECODING AND ENCODING NETWORK STEGANOGRAPHY UTILIZING ENHANCED ATTENTION MECHANISM AND LOSS FUNCTION

    公开(公告)号:US20230376614A1

    公开(公告)日:2023-11-23

    申请号:US18199388

    申请日:2023-05-19

    申请人: Wuhan University

    IPC分类号: G06F21/60 G06N3/08

    CPC分类号: G06F21/602 G06N3/08

    摘要: A method for decoding and encoding network steganography includes: extracting an attention mask of a container image by a convolutional block attention network; extracting two-dimensional image features of a secret image by a feature preprocessing network; splicing the two-dimensional image features and the attention mask of the container image and the secret image in a channel layer, and inputting a spliced image into an encoding network to generate a stego image; inputting the stego image and the container image into a decoding network to respectively obtain a reconstructed secret image and a generated secret image; and constructing a total loss function considering a similarity between the container image and the stego image, a similarity between the secret image and the reconstructed secret image, and a difference between the reconstructed secret image and the generated secret image, and thus performing training on a network model.

    PEDESTRIAN RE-IDENTIFICATION METHOD BASED ON VIRTUAL SAMPLES

    公开(公告)号:US20230334895A1

    公开(公告)日:2023-10-19

    申请号:US18337439

    申请日:2023-06-20

    申请人: WUHAN UNIVERSITY

    摘要: This invention proposes a pedestrian re-identification method based on virtual samples, comprising following steps: sl) obtaining virtual persons generated by game engine, and generating the virtual samples with person labels by fusing a background of a target dataset and a pose of real persons through a multi-factor variational generation network; s2) rendering the generated virtual samples according to lighting conditions; s3) sampling the rendered virtual samples according to person attributes of target dataset; s4) constructing a training dataset according to virtual samples obtained by sampling to train a pedestrian re-identification model, and verifying identification effect of the trained model. The present invention uses a virtual image generation framework that integrates translation-rendering-sampling to narrow the distribution between virtual images and real images as much as possible to generate virtual samples, and conduct person re-identification model training, which can be effectively and effectively applied to pedestrian datasets in real scenes.