Advances in unsupervised ship detection with multiscale techniques

Abstract

This paper constitutes an example of analysis proving that new satellite borne full polSAR data is favorable for automatic ship detection purposes. In particular, this paper is based on a multiscale method for automatic ship enhancement based on the wavelet transform on single channel data and it proposes its extension to full polSAR images. Then, the enhancement of contrast of the ships with respect to the background sea reached with the method proposed is compared to that obtained by the classical polarization entropy.Index Terms-ship detection, quad polSAR data, wavelet transform.

A Novel Variable Index and Excision CFAR Based Ship Detection Method on SAR Imagery

“…Therefore, we estimate the shape and scale parameters with different reference cells based on the switch logic in Table 1. And then we directly derive the detection threshold for ship detection on SAR imagery by (8):…”

“…Besides the methods based on wavelet analysis [8] and subaperture correlation [9], constant false alarm rate (CFAR) method is the most popular technique for ship detection on SAR imagery [3]. The CFAR scheme sets the detection threshold adaptively based on the local statistic, which is estimated by processing a group of reference cells surrounding the cell under test (CUT).…”

BgCut: Automatic Ship Detection from UAV Images

“…With the application of unmanned aerial vehicles (UAV) in the supervision of ships, forestry, and natural resources [ 1 ], the use of UAV in positioning of vessels and management of fishery activities is confirmed [ 2 ]. UAV, according to the target task, can carry different devices such as synthetic aperture radar (SAR) systems and high-resolution optical camera aerial system.…”