Abstract: A method and a system for detecting railway foreign object intrusion, and a device and a medium can include acquiring a first key frame of railway image of a current scenario as a template image, and an Nth frame of railway image as a to-be-detected image; inputting the template image and the to-be-detected image of the current scenario into a foreign object intrusion prediction model to obtain a foreign object feature map of the current scenario, so as to determine whether there is a different target between the to-be-detected image and the template image of the current scenario; and filtering, by using a moving object filter model, a moving object from the different target of the to-be-detected image of the current scenario in response to existing different target, to obtain a true foreign object in the to-be-detected image of the current scenario.

Abstract: An acquisition apparatus, an acquisition system, and a control method for multi-source aerial remote sensing data are applied to the field of aerial survey and remote sensing technology. The acquisition apparatus for multi-source aerial remote sensing data includes: a flight platform and onboard equipment arranged on the flight platform; wherein the onboard equipment includes: a multi-sensor ultra-compact integrated device, an onboard integrated synchronization control device, and a GNSS receiving antenna; the multi-sensor ultra-compact integrated device is connected to the onboard integrated synchronization control device via a cable, and the GNSS receiving antenna is arranged on an upper end face of the flight platform; the multi-sensor ultra-compact integrated device is configured to acquire multi-source remote sensing data; and the onboard integrated synchronization control device is configured to control the operation of the multi-sensor ultra-compact integrated device.

Abstract: A method and a system for detecting railway foreign object intrusion, and a device and a medium can include acquiring a first key frame of railway image of a current scenario as a template image, and an Nth frame of railway image as a to-be-detected image; inputting the template image and the to-be-detected image of the current scenario into a foreign object intrusion prediction model to obtain a foreign object feature map of the current scenario, so as to determine whether there is a different target between the to-be-detected image and the template image of the current scenario; and filtering, by using a moving object filter model, a moving object from the different target of the to-be-detected image of the current scenario in response to existing different target, to obtain a true foreign object in the to-be-detected image of the current scenario.