SAR-Airport_Dataset

The spaceborne SAR airport detection dataset mainly uses data from the European Space Agency's Sentinel-1B satellite to construct a SAR airport target dataset that includes multiple polarization modes, sizes, and covers multiple countries and cities, promoting in-depth research on advanced technologies such as SAR airport target detection. The dataset was constructed by a team from the Remote Sensing Technology Research Institute of Beijing University of Chemical Technology, including Zhang Fan, Ma Fei, Zhou Yongsheng, and others.This dataset uses the first order interferometric broadband GRD product of the European Space Agency Sentinel-1B satellite, with a spatial resolution of 10 × 10 meters, with an incidence angle of about 20 °~45 °, and polarization modes including VH and VV. The data contains a total of 624 SAR airport detection images, covering 104 airport targets and gathering multiple cities from multiple countries in Asia, Europe, Africa, North America, and South America.All image sizes are 2048 × 2048 pixels in single channel grayscale image format, 8-bit deep JPG. The annotation file is in TXT format, with one target labeled per line. It records the detection type, normalized airport center position (column, row number), normalized airport width, and normalized airport length, which comply with the format requirements of mainstream detection networks such as Yolo series, PolarMask, SSD, and Faster RCNN.