Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 169, Issue -, Pages 268-279Publisher
ELSEVIER
DOI: 10.1016/j.isprsjprs.2020.09.022
Keywords
Object detection; Oriented objects; Middle lines; Anchor-free; NMS-free
Categories
Funding
- National Natural Science Foundation of China [61725105, 41801349]
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Oriented object detection in remote sensing images is an active yet challenging task. State-of-the-art detectors adopt oriented bounding box as a basic representation of an object. The design of them always multiplies the number of anchor boxes with arbitrary angles. Coupled with the rotated Non-Maximum-Suppression (NMS) algorithm, their computational complexities and design difficulties are dramatically increased. In this paper, we propose a novel representation form of oriented objects as pairs of middle lines. Along with the new representation, Oriented Objects Detection Network (O-2-DNet) is proposed to encode and detect these paired middle lines. By eliminating the pre-designed set of anchor boxes and complicated rotated-NMS post-processing, our model runs in an anchor-free and NMS-free manner. Thereby, compared with state-of-the-art bounding-box and anchor-NMS based detectors, O-2-DNet is simpler and more efficient in the oriented object detection task. Experiments show that O-2-DNet achieves excellent performances on the DOTA dataset. In fact, the horizontal objects can also be regarded as a unique form of oriented ones with an angle of 90 degrees. O-2-DNet can also achieve competitive results on the horizontal box dataset, such as DIOR.
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