Journal ArticleDOI
Compression of complex-valued SAR images
P. Eichel,R.W. Ives +1 more
TLDR
In this paper, the properties of complex-valued SAR images relevant to the task of data compression are examined, and the use of transform-based compression methods is advocated but employ radically different quantization strategies than those commonly used for incoherent optical images.Abstract:
Synthetic aperture radars (SAR) are coherent imaging systems that produce complex-valued images of the ground. Because modern systems can generate large amounts of data, there is substantial interest in applying image compression techniques to these products. We examine the properties of complex-valued SAR images relevant to the task of data compression. We advocate the use of transform-based compression methods but employ radically different quantization strategies than those commonly used for incoherent optical images. The theory, methodology, and examples are presented.read more
Citations
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Proceedings ArticleDOI
A Challenge Problem for SAR Change Detection and Data Compression.
Steven Scarborough,LeRoy A. Gorham,Michael J. Minardi,Uttam Majumder,Matthew G. Judge,Linda J. Moore,Leslie M. Novak,Steven Jaroszewksi,Laura Spoldi,Alan Pieramico +9 more
TL;DR: This document describes a challenge problem whose scope is to develop SAR CCD algorithms that are applicable for X-band SAR imagery collected in an urban environment and how to effective data compression of these complex SAR images.
Proceedings ArticleDOI
Complex-valued convolutional neural networks for real-valued image classification
TL;DR: In this paper, complex-valued convolutional neural networks are presented, by giving the full deduction of the gradient descent algorithm for training this type of networks.
Journal ArticleDOI
Complex SAR Image Compression Based on Directional Lifting Wavelet Transform With High Clustering Capability
TL;DR: A novel phenomenon is observed, that is, DLWT with direction prediction achieves a higher clustering capability for complex SAR images than DWT, and DLWT outperforms DWT in terms of rate-distortion performance even if the K-term nonlinear approximation of DWT is better than that of DLWT.
Patent
Measurement and signature intelligence analysis and reduction technique
TL;DR: In this paper, statistical characteristics of the data are utilized to convert the data into a form that requires fewer bits in accordance with the statistical characteristics and redundancy may be removed from the processed data with an encoder.
Journal ArticleDOI
SAR raw data compression by subband coding
Vito Pascazio,Gilda Schirinzi +1 more
TL;DR: The performances achieved in terms of bit rate reduction and certain quality parameters computed on the images obtained by compressed data have been evaluated and show an increased performance in the compression method with respect to conventional methods, albeit with a slightly increased complexity in the algorithm implementation.
References
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Journal ArticleDOI
Least squares quantization in PCM
TL;DR: In this article, the authors derived necessary conditions for any finite number of quanta and associated quantization intervals of an optimum finite quantization scheme to achieve minimum average quantization noise power.
Book
Digital Picture Processing
Azriel Rosenfeld,Avinash C. Kak +1 more
TL;DR: The rapid rate at which the field of digital picture processing has grown in the past five years had necessitated extensive revisions and the introduction of topics not found in the original edition.
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Arithmetic coding for data compression
TL;DR: The state of the art in data compression is arithmetic coding, not the better-known Huffman method, which gives greater compression, is faster for adaptive models, and clearly separates the model from the channel encoding.
Book
JPEG: Still Image Data Compression Standard
TL;DR: This chapter discusses JPEG Syntax and Data Organization, the history of JPEG, and some of the aspects of the Human Visual Systems that make up JPEG.
Book
Synthetic Aperture Radar: Systems and Signal Processing
TL;DR: The Radar Equation, The Matched Filter and Pulse Compression, and Other Imaging Algorithms: Imaging and the Rectangular Algorithm.
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