Use of 3D ship scatterer models from ISAR image sequences for target recognition

Moving Target Analysis in ISAR Image Sequences With a Multiframe Marked Point Process Model

“…The type and quantity of features that should be used in an ATC/ATR system is an open problem. Several papers have been written in the literature that show a number of approaches to select and extract features and the way they are used to classify targets [6], [7], [22]- [28]. Among the diverse approaches and set of features used, there are a few common aspects that seem to play an important role in practically all proposed classifiers.…”

“…Therefore, by using ISAR image sequences, such shortcomings may be overcome. Sequences of ISAR images have been used previously to improve both ISAR image formation (even allow reconstructing 3D ISAR images [5]) and target's classification and recognition [6]. Other important aspects related to classification is the resemblance between features extracted from the ISAR image under test and those present in the database.…”

“…A number of ATR techniques based on sequences of ISAR images have been proposed in the literature. Some of them directly utilize the 2D ISAR frames [4], whereas others attempt a 3D image reconstruction before dealing with the classification problem [5], [6]. However, robust feature extraction and feature tracking in the ISAR images are usually difficult tasks due to the high noise factors and low level of available details about the structure of the imaged targets.…”

ISAR image sequence based Automatic Target Recognition by using a Multi-Frame Marked Point Process model

“…A number of ATR techniques based on sequences of ISAR images have been proposed in the literature. Some of them directly utilize the 2D ISAR images [3], whereas others attempt a 3D signal reconstruction before dealing with the classification problem [4,5]. Due to the physics of ISAR imaging, consecutive images of an ISAR sequence may have significantly different quality in terms of image focus.…”

Ship structure extraction in ISAR image sequences by a Markovian approach

“…Identification and motion analysis of ship targets in airborne Inverse Synthetic Aperture Radar (ISAR) image sequences are key problems of Automatic Target Recognition (ATR) systems which utilize ISAR data [3,5]. Remotely sensed ISAR images are able to provide valuable information for target classification and recognition in several difficult situations, where optical or SAR imaging techniques fail [6].…”