Insight Into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection

arXiv:2403.13698v1 Announce Type: new
Abstract: Ship detection from satellite imagery using Deep Learning (DL) is an indispensable solution for maritime surveillance. However, applying DL models trained on one dataset to others having differences in spatial resolution and radiometric features requires many adjustments. To overcome this issue, this paper focused on the DL models trained on datasets that consist of different optical images and a combination of radar and optical data. When dealing with a limited number of training images, the …

abstract arxiv cs.cv dataset deep learning detection differences eess.iv features however insight issue paper satellite scale ship solution spatial surveillance type