A Prealiminary Study of Ship Detection From Uav Images Based on Color Space Conversion and Image Segmentation

Abstract

Commission I, ICWG I/VbKEY WORDS: Ship Detection, Remote Sensing Images, Edge Detection, Colour Space, Marine Surveillance, UAV ABSTRACT:Ship detection is an inherent process supporting tasks such as fishery management, ship search, marine traffic monitoring and control, and helps in the prevention of illegal activities. So far, sea and shore monitoring has been carried out by ship patrols and aircrafts along with sea vessel detection from data from space-borne platforms. Recently an increase interest in applying images delivered by UAV for marine application due to their advantages such as high spatial resolution, independence on time acquisition can be noticed. While investigating state of the art methods used for ship detection from different platforms using optical images, we found a significant problem with occurrence of a ship wake. This phenomena may prohibit correct detection of ship location and results in overestimating the ship size as the ship and its wake are often considered as being part of the same object in image or wakes are distinguished as a separate ship due to their possible similar brightness compared with sea vessel. In order to reduce the impact of ship wakes we investigated the behavior of images in different color spaces to provide data with little or almost no trace of ship wake. We took into consideration following color spaces: HSV, YCbCr, NTSC, XYZ and L*a*b and investigated each channel from new images. Finally we decided to use 2nd channel of L*a*b space where the ship wakes occurrence were significantly reduced. Object of interest were detected through the use of image segmentation. Applied method uses edge detection based on the gradient magnitude calculation. Afterwards several characteristics such as centroids, major and minor axis, size and orientation were calculated for later use to remove false positives and thus improve accuracy of the proposed method.

Secure UAV‐Based System to Detect Small Boats Using Neural Networks

“…Various advances in research and various works have been recently presented that deal with the problem of irregular immigration, [8][9][10][11][12]. These works make use of various image processing techniques for the detection of people and boats in the sea, demonstrating that it is feasible to use technology in combination with UAV systems to face these problems.…”

Wakes-Ship Removal on High-Resolution Optical Images based on Histograms in HSV Color Space

“…A research [9] approached this problem using clustering kmeans and watershed segmentation, they tested their method in a small dataset of 54 images, also they point it out how important is the segmentation in this kind of images. Another recent research [10] remarks the importance of segmentation on ship-wakes images, they used CIELAB color space to segment ship from wakes as a preliminary study. Both works were done using remote sensing images, but with low resolution.…”