Remote Sensing

This dual conception of remote sensing brought us to the idea of preparing two different books; in addition to the first book which displays recent advances in remote sensing applications, this book is devoted to new techniques for data processing, sensors and platforms. We do not intend this book to cover all aspects of remote sensing techniques and platforms, since it would be an impossible task for a single volume. Instead, we have collected a number of high-quality, original and representative contributions in those areas

Oil spill and ship detection using high resolution polarimetric X-band SAR data

Among illegal human activities, marine pollution and target detection are the key concern of Maritime Security and Safety. This thesis deals with oil spill and ship detection using high resolution X-band polarimetric SAR (PolSAR). Polarimetry aims at analysing the polarization state of a wave field, in order to obtain physical information from the observed object. In this dissertation PolSAR techniques are suggested as improvement of the current State-of-the-Art of SAR marine pollution and target detection, by examining in depth Near Real Time suitability

Three dimensional reconstruction of coastal bathymetry using TOPSAR c-band

This paper reports on a study carried out for the generation of three-dimensional (3D) ocean bathymetry using airborne TOPSAR data. The main objective of this study is to utilize fuzzy arithmetic for constructing ocean bathymetry from polarized remote sensing data such as a TOPSAR image. In doing so, two three-dimensional surface models, the Volterra model and a fuzzy B-spline model which construct a global topological structure between the data points were used to support an approximation of real surface. The best reconstruction of coastal bathymetry of the test site in Kuala Terengganu, Malaysia, was obtained with polarised C bands TOPSAR acquired with VV polarization. With 10 m spatial resolution of TOPSAR data, an accuracy of (root mean square) ± 0.03 m was found with Cvv band