Techniques for identifying parking lots in remotely-sensed images by identifying parking rows

摘要

Processing and analyzing at least one remotely-sensed image to automatically detect and identify parking lots within a region of the remotely-sensed image. This may include: (1) receiving a remotely-sensed image having zero or more parking lots; (2) identifying a set of pixels related to parking lot features within the remotely-sensed image; (3) identifying at least one parking row within the remotely-sensed image; and (3) identifying a parking lot based on the identified parking rows. Identifying at least one parking lot may further include using first, second, third, and fourth level modules, such as a concrete/asphalt detection module, a road marking detection module, a vehicle detection module, and a Hough aggregation for parking row detection module.

主权项

1. A method for identifying parking lots in a remotely-sensed image, the method comprising:
receiving at least one remotely-sensed image having zero or more parking lots; identifying a first set of pixels related to a parking lot surface material within the remotely-sensed image with a parking lot surface module; identifying a second set of pixels related to parking lot lines within the remotely-sensed image with a road-markings module; identifying at least one parking lot object of interest within the remotely-sensed image with a vehicle detection module; identifying at least one parking row within the remotely-sensed image with a parking row detection module, wherein the parking row detection module detects the at least one parking row based on data received from the parking lot surface, road-markings, and vehicle detection modules; and identifying a parking lot based on information from the parking lot surface, road-markings, vehicle detection, and parking row detection modules.