A target-based color space for sea target detection

Abstract

Sea target detection is a vital application for military and navigation purposes. A new supervised clustering method based on the combination of the PSO and FCM techniques is presented for the sea target detection problem. The color components of the target and non-target pixels in the RGB color space are used as features to train the classification algorithm. The new classifier is presented in the form of a new color space which we call the Target-based Color Space (TCS); in fact the RGB color space is converted to this new space through a 3 × 3 matrix. The Particle Swarm Optimization (PSO) algorithm is then used to search for the optimum weights of the conversion matrix which results in a more discriminating clustering space between the target and non-target pixels. In other words, solving the optimization problem, minimization of the objective function of the FCM clustering technique in linear and quadratic transform domain (with a NP-hard problem in quadratic conversion), is done using the PSO algorithm. The main objective of this work is to demonstrate the efficiency of using just color features, as well as color space conversion in the classification domain. Experimental results show the efficiency of new method in finding sea targets in color images.

Design and Research of a Color Discrimination Method for Polycrystalline Silicon Cells Based on Laser Detection System

“…Saranathan et al [5] proposed that the color of butterfly wings is produced not by pigment but by structural light, which is a new situation for color discrimination. Mirghasemi et al [6] analyzed sea targets based on RGB color Spaces. The color components of the target and non-target pixels in the RGB color space are used as features to train the classification algorithm.…”

Vessel detection and classification from spaceborne optical images: A literature survey

“…However, also during the day, temperature differences between ship (parts) and sea may allow detection (e.g. Lee et al, 1990, Leira et al, 2015, Mirghasemi et al, 2011, Neele, 2005, Wu et al, 2011). From aircraft, the moniker FLIR (Forward Looking InfraRed) is often used (also covering near-infrared), although such cameras may be pointed in any direction with a gimbal and they usually have a video function.…”

Ship Detection in Optical Remote Sensing Images Based on Saliency and a Rotation-Invariant Descriptor

“…Besides, lack of color and texture features makes SAR imagery unsuitable for recognizing the ship targets. IR images are employed to enhance the vision effect in weak light conditions but they also have some drawbacks, such as poor signal-to-noise ratio, insufficient structure information, and varied gray levels [1]. Compared with SAR and IR images, the VRS images investigated in this paper are more intuitive and capture more details and complex structures of an observed scene, which can be further used in target recognition.…”