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Method for automatically matching multisource space-borne SAR (Synthetic Aperture Radar) images based on RFM (Rational Function Model)

ActiveCN102213762AAutomatic and reliable matchingMeet the requirements for co-locationRadio wave reradiation/reflectionSynthetic aperture radarWorkload
The invention discloses a method for automatically matching multisource space-borne SAR (Synthetic Aperture Radar) images based on an RFM (Rational function model). The method comprises the following steps of: calculating respective RPC (Rational Polynominal Coefficient) parameter of images; performing forecast of initial positions of points to be matched, matching of approximate epipolar line geometric establishment constraints and geometric rough correction of matched window images by using the RPC parameters of the images on every pyramid image layer, deleting wrong matching points from the image matching result of every layer of pyramid by adopting regional computer network error compensation based on an RFM model; refining the RPC parameters of the images and calculating the object space coordinates of the matching points; refining the matching result to the original image layer by layer; and refining a matching result by using a least square image matching method to realize automatic and reliable matching of common points of multisource space-borne SAR images. In the method, the RFM model is introduced into automatic matching of the multisource space-borne SAR images, and the regional computer network error compensation of the RFM model is blended into the image matching process of every layer pyramid, so that wrong matching points in the matching process can be effectively deleted, and the workload of manual measurement of common points is effectively lowered.
Owner:CCCC SECOND HIGHWAY CONSULTANTS CO LTD

Road cleaning system and method through intelligent robot

The invention discloses a road cleaning system and method through an intelligent robot for mainly solving the problem of frequent happening of accidents of environmental sanitation workers due to large effects of prior road environmental sanitation cleaning systems on traffic. The system comprises a controller (2), a binocular camera (7), a central processor (3), a supersonic distance measurement unit (6), a cleaning mechanism (4) and a moving mechanism (5). The controller (2) reads data of the supersonic distance measurement unit (6) and uploads the encoded data to the central processor (3); the central processor (3) reads images shot by the binocular camera (7), signal lamp states of a road section where the central processor (3) is in and the data of the supersonic distance measurement unit (6), performs recognition processing to determine the moving direction and cleaning actions of the system and transmits the moving direction and cleaning actions to the controller (2); and the controller (2) controls the moving mechanism (5) to drive the whole system to move towards the garbage direction and the cleaning mechanism (4) to clean cleaning mechanism (4). By means of the intelligent robot road cleaning system and cleaning method, roads can be cleaned automatically and actively, environmental sanitation workers can be replaced or assisted to check and study roads for cleaning in heavy-traffic or high-vehicle-sapped dangerous sections.
Owner:XIDIAN UNIV
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