منابع مشابه
Automatic model construction for object recognition using ISAR images
This paper discusses model construction for object recognition using ISAR images. A leaming-from-examples approach is used to construct recognition models of the objects from their ISAR data. Given a set of ISAR data of an object of interest, structural features are extracted from the images. Statistical analysis and geometrical reasoning are then used to analyze the features to find spatial an...
متن کاملAn Automatic Ship Classification System for ISAR Imagery
II We have designed and developed an automatic ship classification (ASe) system for classifying potential naval targets from inverse synthetic-aperture radar (ISAR) imagery. Initially, the ASC system was developed for an over-thehorizon targeting application. In the application, an airborne platform with an on-board ISAR sensor transmitted imagery to a host ship carrying the ASC system. Our pre...
متن کاملModel based ISAR ship classification
This paper presents an investigation of ISAR image classification based on a comparison of range-Doppler imagery to 3D ship reference models. This comparison is performed in the image domain by estimating the motion of a sequency of ISAR images, generating 3D reference models corresponding to the same motion and matching the models with the given ISAR images. The effect of estimation error in t...
متن کاملAutomatic Recognition of ISAR Images of Multiple Targets and ATR Results
Inverse synthetic aperture radar (ISAR) imaging is an effective method to identify unknown targets regardless of weather and illumination conditions. Research results published regarding this topic have focused mainly on imaging and automatic target recognition (ATR) of single targets. However, targets generally fly in formation, so the applicability of ISAR images to ATR of multiple targets mu...
متن کاملBgCut: Automatic Ship Detection from UAV Images
Ship detection in static UAV aerial images is a fundamental challenge in sea target detection and precise positioning. In this paper, an improved universal background model based on Grabcut algorithm is proposed to segment foreground objects from sea automatically. First, a sea template library including images in different natural conditions is built to provide an initial template to the model...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Aerospace and Electronic Systems
سال: 1996
ISSN: 0018-9251
DOI: 10.1109/7.543860