Optical Satellite Data Compression and Implementation

The Author of Optical Satellite Data Compression and Implementation 

Shen-En Qian is the editor of Optical Satellite Data Compression and Implementation PDF Guide

Major Contents of Optical Satellite Date Compression and Implementation PDF Guide

• Wants for Data Compression and Picture High quality Metrics
• Lossless Satellite Data Compression
• Worldwide Requirements for Spacecraft Data Compression
• Vector Quantization Data Compression
• Onboard Close to-Lossless Data Compression Methods
• Optimizing the Efficiency of Onboard Data Compression
• Data Compression Engines aboard a Satellite
• Consumer Acceptability Research of Satellite Data Compression
• Hyperspectral Picture Browser for On-line Satellite Data Evaluation and Distribution

Preface to Optical Satellite Data Compression and Implementation by Shen-En Qian

Satellite knowledge compression has been an necessary topic because the starting of satellites in orbit, and it has turn out to be an much more energetic analysis matter. (Optical Satellite Data Compression by Shen-En Qian)

Following technological developments, the development of recent satellites has led to a rise in spatial, spectral, and radiometric decision, an extension in wavelength vary, and a widening of the bottom swath to higher serve the wants of the person neighborhood and decision-makers.

Data compression is usually used as a sound answer to beat the challenges of dealing with an amazing quantity of knowledge.

I’ve been working on this space since I used to be pursing my Ph. D. thesis virtually 30 years in the past. (Optical Satellite Data Compression by Shen-En Qian)

During the last twenty years, I—was a senior analysis scientist and technical authority with the Canadian Area Company—have led and carried out analysis and growth of revolutionary knowledge compression know-how for optical satellites in collaboration with my colleagues on the company, different authorities departments, my postdoctoral visiting fellows, internship college students, and engineers at Canadian house business.

I invented and patented two collection of near-lossless satellite tv for pc knowledge compression methods and led the Canadian business groups who carried out the methods and constructed the onboard near-lossless compressors. (Optical Satellite Data Compression by Shen-En Qian)

I additionally led a multidisciplinary person group to evaluate the impression of the near-lossless compression methods on final satellite tv for pc knowledge functions.

Because the consultant of Canada, I’m an energetic member of the CCSDS working group for growing worldwide data-compression requirements for satellite tv for pc knowledge methods. (Optical Satellite Data Compression by Shen-En Qian)

Three worldwide satellite tv for pc knowledge compression requirements have been developed by the working group and revealed by the Worldwide Group for Standardization (ISO).

In FROODERUDWLQJ ZLWK H[SHUWV LQ WKLV DUHD LQ WKH ZRUOG, KDYH FR FKDLUHG DQ 63,( convention on satellite tv for pc knowledge compression, communication, and sign processing since 2005.

I’ve revealed over sixty papers and at present maintain six U. S. patents, two European patents, and a number of pending patents within the topics of satellite tv for pc knowledge compression and implementation.

I really feel that I’ve acquired adequate data and amassed loads of expertise on this space, and it’s definitely worth the effort to systematically arrange them and put them right into a guide.

This Optical Satellite Data Compression by Shen-En Qian PDF guide is my try to supply an end-to-end therapy of optical satellite tv for pc knowledge compression and implementation primarily based on 30 years of firsthand expertise and analysis outcomes.

(It’s a companion textual content to my PDF guide Optical Satellite Sign Processing and Enhancement, revealed by SPIE Press.) (Optical Satellite Data Compression by Shen-En Qian)

The contents of the guide encompass 9 chapters that cowl a variety of matters on this area. It serves as an introduction for readers who’re prepared to study the fundamentals and the evolution of knowledge compression, and a information for these engaged on onboard and floor satellite tv for pc knowledge compression, knowledge dealing with, and manipulation, and deployment of data-compression subsystems.

The fabric is written to supply clear definitions and exact descriptions for superior researchers and professional practitioners in addition to for rookies.

Chapters open with a short introduction of the subject material, adopted by a assessment of earlier approaches and their shortcomings, a presentation of latest methods with improved efficiency, and lastly a report on experimental outcomes with the intention to assess their effectiveness and to supply conclusions.

Chapter 1 is the introduction to the PDF guide that describes the rationale and wants for satellite tv for pc knowledge compression and introduces a set of picture high quality metrics for assessing compressed satellite tv for pc photos.

Chapter 2 presents a assessment of satellite tv for pc lossless-data-compression methods, contemplating each prediction-based and transform-based strategies. (Optical Satellite Data Compression by Shen-En Qian)

Chapter 3 summarizes three worldwide satellite-data-compression requirements developed by CCSDS from the attitude of making use of the requirements.

Chapter 4 describes vector quantization (VQ) primarily based data-compression methods that I’ve developed for compressing hyperspectral knowledge.

The main target of the analysis was to considerably scale back the computational complexity of typical VQ algorithms to ensure that them to successfully compress hyperspectral datacubes.

Many revolutionary but sensible options have been developed, together with two of my granted patents: Successive Approximation Multi-stage Vector Quantization (SAMVQ) and Hierarchical Self-Organizing Cluster Vector Quantization (HSOCVQ).

Chapter 5 describes how each of those methods clear up the blocking impact when utilized to compress steady knowledge move generated aboard satellites and how they limit the compression error to a degree decrease than that of the intrinsic noise of the unique knowledge to realize so-called near-lossless compression.

Chapter 6 addresses the optimization and implementation facets of onboard knowledge compression; facets embody the impact of anomalies of enter knowledge on compression efficiency, the situation within the onboard knowledge processing chain the place the compressor must be deployed, and the methods to reinforce error resilience within the knowledge downlink transmission channel.

Chapter 7 describes the {hardware} implementation of compression engines and onboard compressors which can be primarily based on SAMVQ and HSOCVQ.

Chapter 8 experiences a multidisciplinary user-acceptance research that assessed the impression of the compression methods on numerous hyperspectral knowledge functions to handle the customers’ concern about doable info loss as a result of lossy compression nature of SAMVQ and HSOCVQ.

Chapter 9 describes the Hyperspectral Picture Browser (HIBR) system, which is able to remotely displaying giant hyperspectral datacubes by way of the Web and of rapidly processing the datacubes straight on the compressed type for customers to establish the knowledge, whose richness comes principally from the spectral info.

There are numerous individuals I want to thank for his or her contributions to the works included on this Optical Satellite Data Compression by Shen-En Qian PDF guide.

I want to thank the Canadian Area Company, the place I’ve been working for the final 20 years; my colleagues Allan Hollinger, Martin Bergeron, Michael Maszkiewicz, Ian Cunningham, and Davinder Manak for his or her participation in knowledge compression initiatives; my postdoctoral visiting fellows Pirouz Zarrinkhat and Charles Searle; and over forty intern college students who’ve every left their mark.

I want to thank Robert Neville (retired), Karl Staenz (now on the College of Lethbridge), and Lixin Solar on the Canada Centre for Distant Sensing for collaborating on the Canadian hyperspectral program;

Josée Lévesque and Jean-Pierre Ardouin on the Defence Analysis and Improvement Canada for his or her collaboration on assessing the impression of knowledge compression. (Optical Satellite Data Compression by Shen-En Qian)

I thank David Goodenough on the Pacific Forestry Centre; John Miller and Baoxin Hu at York College for offering datasets and for actively collaborating on the data-compression person acceptability research;

and Bormin Huang of the Cooperative Institute for Meteorological Satellite Research on the College of Wisconsin-Madison for his dialogue on satellite tv for pc knowledge compression.

I might additionally prefer to thank the members within the person acceptability research: Andrew Dyk on the Pacific Forestry Centre; Jing Chen on the College of Toronto; Harold Zwick, Dan Williams, Chris Nadeau, and Gordon Jolly at MacDonald Dettwiler Associates; and Benoit Rivard and Jilu Feng on the College of Alberta. (Optical Satellite Data Compression by Shen-En Qian)

I thank Luc Gagnon, William Harvey, Bob Barrette, and Colin Black at MacDonald Dettwiler Associates (former EMS Applied sciences) for the event and fabrication of onboard compressor prototypes; and Melanie Dutkiewicz and Natural Tsang for the event of a hyperspectral browser.

I thank Valec Szwarc and Mario Caron on the Communication Analysis Centre (Canada) for discussions on enhancing resilience to bit errors of compressed knowledge within the downlink channel; and Peter Oswald and Ron Buckingham for his or her dialogue on onboard knowledge compression.

I might additionally prefer to thank the three nameless manuscript reviewers for his or her tireless work and sturdy endorsement of this Optical Satellite Data Compression by Shen-En Qian PDF guide,I might additionally prefer to thank Penshu Yeh on the NASA Goddard Area Flight Heart, Aaron Kiely on the Jet Propulsion Laboratory, Carole Thiebaut and Gilles Moury on the French Area Company (CNES), and Raffaele Vitulli on the European Area Company for the collaboration throughout the CCSDS in growing worldwide spacecraft-data requirements and for his or her contributions to the CCSDS work included on this Optical Satellite Data Compression by Shen-En Qian PDF guide. (Optical Satellite Data Compression by Shen-En Qian)

their cautious and meticulous chapter-by-chapter assessment on behalf of SPIE Press, and their detailed feedback resulting in the development and remaining outcomes of the PDF guide in its present type.

Many thanks as nicely to Tim Lamkins, Scott McNeill, and Dara Burrows at SPIE Press for turning my manuscript into this optical Satellite Data Compression by Shen-En Qian PDF guide. (Optical Satellite Data Compression by Shen-En Qian)

Lastly, I want to thank my spouse Nancy and daughter Cynthia for his or her assist and assist. They offered nice encouragement and help through the interval I wrote this Optical Satellite Data Compression by Shen-En Qian PDF guide

The credit score of this Optical Satellite Data Compression by Shen-En Qian PDF guide ought to go to them. (Optical Satellite Data Compression by Shen-En Qian)

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