WAIOHYP 2023

Motivation      With the ever increasing amounts of data around us, many modern technologies designed for hyperspectral image processing                                                and medical imagining are now routinely using Artificial Intelligence and Optimization. Hyperspectral is used in a wide array of                                                applications: agriculture, health, environment, mineralogy, surveillance, physics, astronomy and chemical imaging.

Although there is a large number of methods that deal with image processing problems, most of these methods have been designed for the application to color and/or grayscale images, having limited success when applied to hyperspectral images. This is partially owing to large hyperspectral data sets being difficult to collect, and also the heavy computational load associated with images captured using many spectral bands.

Goal           Through this workshop, we aim to push the frontiers of AI, Optimization and take important steps towards making the                                                            hyperspectral technologies of tomorrow possible, with direct impact in various parts of the environment, health and industry                                                sectors. Our goal is to gather novel processing, learning and optimization techniques for hyperspectral imaging systems under a                                           single umbrella. We aim to publish a set of selected works in an upcoming issue of the journal Mathematics (IF=2.258). 

Presentations           We welcome presentations of efficient and effective processing, learning and optimization algorithms for hyperspectral imaging                                           models with applications on ocean monitoring and medical images. We also welcome presentations of novel data sets or                                                         presentations discussing challenges and open problems related to hyperspectral image processing. 

Topics                            We accept papers on the following topics: 

• Optimization for hyperspectral / medical imaging data

• hyperspectral / medical image registration

• hyperspectral / medical image super-resolution

• hyperspectral / medical image segmentation

• representation learning for hyperspectral / medical imaging

SCIENTIFIC STEERING COMMITTEE 

Flying to Bucharest:

The Capital city of Romania, Bucharest is located in the south of the country.

The Bucharest Henri Coandă International Airport  at Otopeni (OTP) lies 16.5 km north of the city center of Bucharest, being the main international airport of the country. Bucharest is well connected via both direct and connecting flights to and from all main European cities.

For real time information on departures, arrivals, as well as restaurants and caffes on the premises, etc. download the official app HenriAppPort.

Hotels near UNST Politehnica Bucharest:

• Ibis Bucharest Politehnica – 3 stars -180 m (2 min walk) distance to UNST Politehnica Bucharest
  The hotel is ideal for business travelers, young tourists, families, as well as guests with reduced mobility. The hotel is located in the western part of the Capital. You can find the hotel in the heart of the Semănatorea business hub, near UNST Politehnica Bucharest, 700 meters from the M1 yellow-line Underground Metro stations Grozavesti and Petrache Poenaru and 15-20 minutes by car from the Old HistoricTown. STB bus stops are located nearby.

• Yesterday – 3 stars – 600 m (7 min walk) distance to  UNST Politehnica Bucharest
  Located in one of the most dynamic areas of the city, Orhideea, the hotel is located at the intersection of two major arteries of the city – Basarab Flyover and Splaiul Unirii – and offers quick access to all points of interest in the city and to the airport.
  Located a few minutes from the M1 yellow-line Underground Metro station Grozavesti, the hotel is in the vicinity of numerous points of administrative, cultural or business interest: Cotroceni Palace, SEMA Park, AFI Cotroceni Shopping Centre, Botanical Garden, City Hall, Bucharest-North Railway Station, UNST Politehnica Bucharest.