IEEE Geoscience and Remote Sensing Magazine - December 2021 - 16

3K camera system (a real-time airborne digital monitoring
system) at a height of 1 km above the ground.
CARS OVERHEAD WITH CONTEXT
Also created for vehicle detection, the cars overhead with context
(COWC) data set images are standardized to 12.5 cm per
pixel at ground level from their original resolutions [39]. The
set contains 32,716 unique cars from six sources: Toronto,
Canada; Selwyn, New Zealand; Potsdam and Vaihingen, Germany;
Columbus, Ohio; and Utah, the United States, covering
different geographical locations and produced by different
imaging sensors. The car sizes range from 24 to 48 pixels.
Two of the sets (Vaihingen and Columbus) are in gray scale;
the others are in RGB color. It should be noted that each car
in the annotated images has a dot placed on its center.
HRSC2016
HSRC2016 is a benchmark data set for boat detection [26];
it has 1,070 images and 2,976 instances from Google Earth
with HBB annotations. The image sizes vary from 300 ×
300 to 1,500 × 900 pixels. The images contain large variations
of scale, position, shape, and appearance.
RSOD
RSOD consists of 976 images and 6,950 object instances
involving four categories [40]. The data set was collected
from Google Earth and Tianditu, and its resolutions range
from 0.3 to 3 m.
DOTA AND ODAI
DOTA is a larger-scale data set with HBB and OBB annotations
[18]. It contains 2,806 large images and classifies objects
into 15 categories, including baseball diamond, ground
track field, small and large vehicles, tennis court, basketball
court, storage tank, soccer field, roundabout, swimming
pool, helicopter, bridge, harbor, ship, and plane. The fully annotated
DOTA contains 188,282 object instances, which vary
greatly in scale, orientation, and aspect ratio; the resolutions
range from 0.3 to 1 m. The images are collected mainly from
Google Earth [4], but some are taken from JL-1 and the rest
from GF-2 of the China Center for Resources Satellite Data
and Application. ODAI is an updated version of the DOTA
data set and contains 0.4 million annotated object instances
in 16 categories. Both DOTA and ODAI use the same aerial
images, but ODAI has revised and updated the annotation of
objects, adding many small-object instances (approximately
10 pixels or fewer) that were missed in DOTA and extending
the categories by adding a new one: a container crane.
XVIEW
This is one of the largest published aerial data sets, covering
60 object classes [41]. It contains images from complex
Ship
Wind Mill
(a)
Ground Track Field
(b)
FIGURE 7. Small, weak object examples of existing HRRS data sets. (a) Small, weak objects in large-scale data sets and (b) small, weak
objects in small-scale data sets for vehicle detection.
16
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE DECEMBER 2021

IEEE Geoscience and Remote Sensing Magazine - December 2021

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