Abstract: Embodiments are a method for controlling a lens module, an aerial vehicle, and an aircraft system, wherein the method for controlling a lens module is applied to the aerial vehicle, the aerial vehicle is provided with a tripod head to mount the lens module thereon, and the method includes: acquiring model data of the lens module if the lens module is adapted to the aerial vehicle; determining a lens model of the lens module according to the model data; identifying the lens module corresponding to the lens model to control the lens module. Following the method, the model data of the lens module is acquired, the lens module adapted to the corresponding aerial vehicle is identified, and a control program is called to control the lens module. Therefore, the aerial vehicle can identify and enable drive control over a new lens module.

Abstract: Embodiments are a high-dynamic-range (HDR) image automatic exposure method and an unmanned aerial vehicle (UAV). The HDR image automatic exposure method is applicable to a UAV and includes: obtaining statistical information and a window weight of automatic exposure; obtaining an evaluation value of the automatic exposure according to the statistical information and the window weight that are obtained; obtaining a compensation amount of the automatic exposure according to the evaluation value and an obtained automatic exposure target value; and triggering the automatic exposure when the compensation amount meets a preset trigger condition. Therefore, problems such as inaccurate brightness and darkness and oscillation during automatic exposure can be finally avoided.

Abstract: The embodiments are a replaceable gimbal camera, an aircraft, an aircraft system, and a gimbal replacement method for an aircraft. The replaceable gimbal camera is applied to the aircraft. The aircraft is provided with a fuselage and a gimbal. The replaceable gimbal camera includes an image capture module, a static storage module, and an image processing module. The static storage module is configured to store parameter data. The image processing module is configured to read the parameter data stored in the static storage module, where after the gimbal is replaced, the image processing module is configured to read parameter data of a gimbal after replacement and configure corresponding parameter data for an image capture module of the gimbal after replacement.

Abstract: The method for processing a depth map includes the following steps: S1: correcting an image of a target area that is collected by an image collection apparatus; S2: performing binocular matching on the image to obtain a depth map of the target area; and S3: acquiring a distribution of obstacles around an UAV according to the depth map. The method further includes: acquiring execution times of the foregoing steps before executing the steps; and establishing at least two threads and at least one ring queue according to the execution times of the steps, and executing the steps by the at least two threads to reduce a total execution time.

Abstract: The present invention provides a data read-write method and apparatus and a circular queue. The method includes: obtaining an offset position of a write pointer from a queue head of a circular queue; determining an offset position of a read pointer according to the offset position of the write pointer; and reading data from the circular queue according to the offset position of the read pointer. Single input multiple output of share memory is implemented, and therefore a plurality of read threads may read data from the circular queue in parallel, thereby effectively improving read-write efficiency of data, and reducing memory consumption.

Abstract: Embodiments are a high-dynamic-range (HDR) image automatic exposure method and an unmanned aerial vehicle (UAV). The HDR image automatic exposure method is applicable to a UAV and includes: obtaining statistical information and a window weight of automatic exposure; obtaining an evaluation value of the automatic exposure according to the statistical information and the window weight that are obtained; obtaining a compensation amount of the automatic exposure according to the evaluation value and an obtained automatic exposure target value; and triggering the automatic exposure when the compensation amount meets a preset trigger condition. Therefore, problems such as inaccurate brightness and darkness and oscillation during automatic exposure can be finally avoided.

Abstract: Embodiments of the present invention discloses an image processing method and apparatus, a device and a storage medium. The method includes: acquiring a first image and a second image, where the first image and the second image are respectively captured and transmitted by a first lens and a second lens disposed on an unmanned aerial vehicle (UAV); acquiring current field of view (FOV) information of the first lens and the second lens; and determining target display information of the second lens according to the FOV information and datum display information set for the first lens.

Abstract: The disclosure provides an infrared thermal imaging temperature measurement method and device, a storage medium and an electronic apparatus, and relate to the technical field of infrared thermal imaging, wherein the method includes acquiring first data output by a thermal imaging assembly mounted on a flying device with image collection of a target region using the flying device, wherein the first data at least includes an operating temperature of the thermal imaging assembly and an original gray value image output by the thermal imaging assembly during the image collection of the target region at the operating temperature; and determining measured temperature values corresponding to different sub-regions in the target region from calibration data and the first data information corresponding to the thermal imaging assembly.

Abstract: The present application discloses a focusing method, a focusing device, and an unmanned aerial vehicle. The focusing method is applied to the unmanned aerial vehicle on which an aerial camera is provided, if the unmanned aerial vehicle is at a high altitude, obtaining an far focus of the aerial camera, and obtaining a preset focus interval according to the far focus, wherein the minimum value of the preset focus interval is less than the far focus and the maximum value of the preset focus interval is greater than or equal to the far focus; and if the current image site of the aerial camera is greater than the maximum value or the current image site is less than the minimum value, then obtaining a first sharpness statistical value at the end of the last focusing, and determining whether to perform focus according to the first sharpness statistical value.

Abstract: Embodiments of the present application provide an image fusion method and a bifocal camera. The method includes: acquiring a thermal image captured by the thermal imaging lens and a visible light image captured by the visible light lens; determining a first focal length when the thermal imaging lens captures the thermal image and a second focal length when the visible light lens captures the visible light image; determining a size calibration parameter and a position calibration parameter of the thermal image according to the first focal length and the second focal length; adjusting a size of the thermal image according to the size calibration parameter, and moving an adjusted thermal image to the visible light image according to the position calibration parameter for registration with the visible light image, to obtain to-be-fused images; and fusing the to-be-fused images to generate a bifocal fused image.

Abstract: Embodiments of the present invention are an image exposure method and device for an unmanned aerial vehicle, and an unmanned aerial vehicle. The method comprises: firstly, acquiring the original image information about a target object, then obtaining the weighted image information according to the original image information, further obtaining the compensation amount of an automatic exposure according to the weighted image information, and finally adjusting an automatic exposure strategy according to the compensation amount of the automatic exposure. The method prevents an unmanned aerial vehicle from easily losing a target during the process of the unmanned aerial vehicle automatically following a moving object, even when encountering a change in light and shadow.

Abstract: The embodiments are an image processing method and apparatus, an aerial camera and a storage medium. The method includes: receiving an image mode switching instruction, wherein the image mode switching instruction is configured to indicate to switch a current image mode into a target image mode, and the image mode switching instruction carries the target image mode; and processing a collected image according to the target image mode. Therefore, the image can be flexibly processed based on the target image mode in the image mode switching instruction, such that the image display requirements in different scenarios are met.

Abstract: Embodiments of the present invention relate to an image processing method and apparatus for a camera module in a night scene, an electronic device, and a storage medium. The method includes: obtaining a multi-frame target image; performing first noise reduction processing on each frame of target image in the multi-frame target image, to obtain intra-frame processing results of the multi-frame target image; performing second noise reduction processing on any two adjacent frames of target images in the multi-frame target image, to obtain inter-frame processing results; and generating an enhanced night scene effect image of the target image according to the intra-frame processing result and the inter-frame processing result.

Abstract: Embodiments of the present invention are a high dynamic range (HDR) synthesis method and apparatus, an image processing chip and an aerial camera. The method includes: acquiring a plurality of to-be-synthesized images having different exposure time; calculating a mean brightness of the to-be-synthesized images; determining an image brightness type of the to-be-synthesized images according to the mean brightness; calculating a brightness difference between adjacent pixel points in one to-be-synthesized image; calculating an inter-frame difference of different to-be-synthesized images at a same pixel point position according to the brightness difference; determining a motion state of the to-be-synthesized images at the pixel point position according to the inter-frame difference; and weighting and synthesizing the to-be-synthesized images into a corresponding HDR image according to the image brightness type and the motion state.

Abstract: Embodiments of this disclosure provide an image fusion method, an electronic device, an unmanned aerial vehicle and a non transitory compute readable storage medium. The image fusion method includes: acquiring a first image; acquiring a second image; acquiring a mapped image of the first image based on a first transformation parameter and the first image, the first transformation parameter being used for characterizing a spatial transformation relationship between the first image and the second image; and weightedly superposing the second image and the mapped image to acquire a first fused image.

Abstract: Embodiments of the present invention relate to an encoding method, an image encoder and image transmission system. The encoding method includes: processing raw image data to obtain at least two channels of different output images; and performing multi-stream encoding on the at least two channels of output images, to form at least two corresponding channels of encoded data to support at least two types of service requirements. A multi-stream encoding manner is used in the encoding method, to adopt different encoding strategies for different service requirements thereby implementing services smoother while meeting the different service requirements.

Abstract: Embodiments of the present invention discloses an imaging calibration method and apparatus for a dual-light camera and a dual-light camera. A thermal imaging image including a first calibration frame image and a visible light image including a second calibration frame image are acquired. The first calibration frame image and the second calibration frame image are images of a same calibration frame respectively photographed by a thermal imaging camera and a visible light camera. First position information of the first calibration frame image in the thermal imaging image and second position information of the second calibration frame in the visible light image are acquired. Calibration parameters are generated according to the first position information and the second position information. A position of the thermal imaging image synthesized in the visible light image in the visible light image is adjusted according to the calibration parameters.

Abstract: The present invention discloses a camera imaging method, a camera system and an unmanned aerial vehicle (UAV). The camera imaging method is applied to a camera system of the UAV. The camera system includes a signal trigger device and a signal receiving device. The method includes: acquiring, by the signal trigger device, a shooting instruction; generating, by the signal trigger device, a trigger signal with a preset trigger frame rate according to the shooting instruction; and performing, by the signal receiving device, exposure at the preset trigger frame rate according to the trigger signal; where the preset trigger frame rate is greater than a default exposure frame rate of the signal receiving device. According to the present invention, an exposure frame rate of the signal receiving device is adjusted to the preset trigger frame rate, so that the signal receiving device can perform exposure according to the preset trigger frame rate, and synchronous dual-light exposure is implemented.

Abstract: Embodiments of the present invention relate to the technical field of image processing, and disclose an image data processing method and apparatus, an image processing chip, and an aircraft. The method comprises: receiving K channels of image data; performing splitting processing on the L channels of second image data in the K channels of image data to obtain M channels of third image data; performing format conversion processing on the (N?M) channels of first image data and the M channels of third image data to obtain a color image in a preset format; and performing image processing on a gray part component of the color image in the preset format to obtain a depth map. The method can better meet the requirements of multi-channel image data processing.

Abstract: The embodiments are a zoom method and apparatus, an unmanned aerial vehicle, an unmanned aircraft system and a storage medium. The zoom method is applied to an unmanned aerial vehicle including an image capturing apparatus and the method includes: controlling the image capturing apparatus to capture an initial image, where a resolution of the initial image is W0*H0 and an area of the initial image is S0; obtaining a cropped image according to the initial image, where the cropped image is an image with an area of S cropped from a preset region in the initial image, S0/S=C and C is a digital zoom factor of the image capturing apparatus; and obtaining a zoom image according to the cropped image, where the zoom image is an image obtained by zooming the cropped image by C/A times, a resolution of the zoom image is W1*H1, A=W0/W1 and C?A.