Remotely sensed Big Data Analytics and Mining

The Center for Soft Computing Research, Indian Statistical Institute, Kolkata will be organizing a workshop under CHAPNET on Remotely sensed Big Data Analytics and Mining during January 23-24, 2018. The workshop is technically sponsored by IEEE Kolkata GRSS Chapter.

Data science has become ubiquitous in modern society. A staggering amount of data is being generated and stored each day all over the world. This data is mostly related to social media, travel, communication, transactions, treatment, education, geoscience, remote sensing, climate models etc. The size and number of this “big” data have been increasing exponentially and will continue to grow at an accelerating rate for the foreseeable future. Effective analysis of these huge collections of apparently insignificant data can be very beneficial for companies, governments, medical organizations etc. Despite the advancements in the broad field of computer science, storing, managing, processing and mining this “big” data is still a significant challenge. Machine learning plays an important role when it comes to making this “big” data useful. It creates a platform which helps to extract, understand and learn the underlying structure of this data. Traditional machine learning methods are not suitable for handling big data as they are not always scalable and also they were not designed to handle the types of data that we encounter in big data. Hence they need to be adapted or new methods need to be evolved to tackle this situation. All this needs to be done for the “value” that this “big” data hold. This value will have a significant impact on a wide range of Geoscience and Remote Sensing Society domains including healthcare, research, web services, finance & business informatics, scientific computing, and many others.

India is one of the leading countries in gathering remote sensing data from it’s own space program under the aegis of ISRO. The volume and variety of remote sensing data increased exponentially with the launch of varied sensors from ISRO, NASA, ESA etc. This makes the remote sensing data an ideal candidate for Big data applications due to its sheer volume, varieties in terms of temporal, spatial and spectral resolution, continuous collection of data (velocity) and necessity of ground validation (veracity). The members of the participating GRSS Chapters in this CHAPNET program are actively involved with the remote sensing data analysis ranging from SAR data to microwave to optical. Through this CHAPNET program, we envision to expand the outreach of the ongoing activities with eminent scientists from other parts of the globe.

The aim of these workshops under CHAPNET will be to gather experts in Remote sensing, Data Science and Machine Learning, and facilitate the participants to get both theoretical and hands-on experience on different aspects of this subject. The workshop will provide a forum for exchanging ideas and information on current research studies, challenges, system developments, and practical experiences in the emerging field of Data Science and Machine Learning dedicated for remotely sensed data.

Topics of interest include (but are not limited to):

  • Machine Learning
  • Data Science
  • Big Data Analysis
  • Remote Sensing
  • Data Mining

 

For further information, click here.

Registration form: click here

Registration fee details:

Student (Research)                 Rs. 1500/-
Academic Institute                  Rs. 2500/-
Industry                                 Rs. 4000/-
(IEEE members can avail additional 10% discount)

Bank account details for payment of registration fee:

Name of Bank:                   Corporation Bank

Address:                             46/3A, Jadavpur Central Road

                                            Ground Floor, Kolkata, West Bengal

                                             Pin-700032

Name of Branch:                 595, Kolkata-Jadavpur

IFSC Code:                          CORP0000595

MICR Code:                        700017009

Type of Account:                 Savings

Account No:                        520101245915512

Name of Account Holder:   IEEE Kolkata Section

Tentative Schedule of the Workshop: Click here

List of selected candidate: Click here

The selection list is tentative and will be updated in regular interval. Interested candidate can mail their filled in application form along with the transaction receipt until January 18, 2018. 

 

Please mention the transaction reference number in subject of the mail while mailing the registration form and transaction receipt. Kindly note the registration fee does not include the accommodation charges.

Ppt of the Speakers:

  • Emmett Ientilucci, Rochester Institute of Technology

Title of talk: ‘Remote Sensing and the growth of Big Data in RIT’s Digital Image and Remote Sensing Lab: Applications and Data Processing

  • Avik Bhattacharya, IIT Bombay

Title of talk:  ‘PolSAR Data Analysis for Target Characterization

  • Gopalakrishnan, NRSC, ISRO, Hyderabad

Title of talk:  ‘Satellite Image Processing’

  • Soumya K. Ghosh, IIT Kharagpur

Title of talk:  ‘Spatial data science’

  • Debadatta Swain, IIT Bhubaneswar

Title of talk:  ‘Remote Sensing of the Earth System’

  • Ashish Ghosh, ISI, Kolkata

Title of talk: ‘Next generation Data Mining ‘

 

 

 

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