Satellite Workshop at IEEE ICIP 2026

ICIP 2026 will take place between September 13-17 in Tampere, Finland. DL-HSA will take place on September 17. We look forward to your attendance!

Hyperspectral imaging has undergone remarkable advancements in recent years, shifting from labor-intensive and time-consuming processing methods to efficient, real-time analysis techniques. This workshop focuses on leveraging deep learning to tackle the unique challenges posed by hyperspectral imaging, including its inherent spectral complexity, high dimensionality, and the critical task of preserving spectral band integrity—an aspect often overlooked in conventional methods. The workshop will explore intelligent algorithms for automated data interpretation, advanced data fusion techniques for multi-source integration, and strategies to enhance spectral continuity in model outputs. Topics such as transfer learning, automated image classification, and segmentation will also be highlighted, showcasing their role in advancing hyperspectral imaging capabilities. This workshop aims to foster innovation and collaboration by bringing together leading researchers and practitioners advancing in hyperspectral imaging and applied AI applications across diverse sectors such as healthcare, environmental monitoring, agriculture, public safety, forensics sciences, and defense.

Areas of Focus:
• Intelligent Algorithms for Automated Hyperspectral Data and Spectral Analysis
• Optimizing Deep Learning Architectures for Multispectral and Hyperspectral Imaging
• Preservation of Spectral Continuity in Deep Learning Models
• Multi-Source Data Fusion for Hyperspectral Analysis
• Transfer Learning for Hyperspectral and Multispectral Image Analysis
• Automated Classification and Segmentation of Hyperspectral and Multispectral Imagery

Additional Information
Workshop details will be published under the pages under the “2026” menu tab. After the conference, when available certain materials will be available for view.

Key Information

Date

September 17, 2026

Time

08:15 – 12:30

Location

Lecture Room A05, Tampere University Main Building, Kalevantie 4, 33100 Tampere, Finland
NOTE: The main venue for IEEE ICIP is Tampere-talo (Tampere Hall). One can walk from Tampere Hall to Tampere University Main Building in around 5 minutes, as the complexes are across the street.

Directions:
  1. Leaving the Tampere-talo complex:
    • If leaving via the main entrance, go down the steps, take a left on Yliopistonkatu (University Street) without crossing the street, then continue straight for 110 m. For your safety, do not walk on the brown cycling path on Yliopistonkatu; use the brick pedestrian path instead.
    • If leaving via the entrance facing the Sorsapuisto (Duck Park), take a left, and follow the pedestrian path 70 m. Take a left onto Yliopistonkatu, and head straight for 140 m.
    • If leaving via the main entrance of the Courtyard by Marriott Tampere City (part of the Tampere-talo complex), take a slight left (heading towards the drop-off entrance) for 40 m, then turn left onto Yliopistonkatu, then continue straight for 30 m.
  2. Continue straight through the crosswalk across Kalevantie. Once across the street, turn left, then take an immediate (< 10 m) right. The main entrance to the Tampere University Main Building is 40 m ahead. and you will enter on the 1st floor.
  3. 1st floor of Tampere University Main Building:
    • If using the stairs, take the staircase on the right down to the ground floor (0. krs.). Take the first right, which leads to a hallway, and A05 will be the second room on the right.
    • If using the elevator, take the ramp immediately to the left of the main entrance inside the atrium, then turn right at the top (facing the two staircases). Walk towards the back, and the elevator will be on your left; take it down to the ground floor. Upon exiting the elevator, take a left, then a right, then another left to enter the ground floor atrium. Take the first right, which leads to a hallway, and A05 will be the second room on the right.
Pictoral map explaining directions from ICIP at Tampere-talo (in blue) to DL-HSA at Tampere University Main Building (in red). South is at the top of both maps. On the left map, the route starting from the main entrance is in blue, the route starting from the entrance facing Sorsapuisto is in red, and the route starting from the Marriott entrance is in green. On the right map, the center image shows the first floor used to enter the building, and the bottom image shows the ground floor where one can find DL-HSA in Room A05. The red path is the accessible path for those who wish to use the elevator, and the blue path is for those who wish to use the stairs.

Program

TimeSession
08:15 – 08:20Welcome and Opening Remarks – Workshop Chairs
08:20 – 09:05Keynote Address (40 min presentation + 5 min Q&A)
Dr. Xue Bai
Hyperspectral Imagery in the AI Era: Open Platforms, Physics Constraints, and Cross-Disciplinary Collaboration
09:05 – 09:30Accepted Paper 1 (20 min presentation + 5 min Q&A)
Adaptive Band Selection for Hyperspectral Classification with Spatially Disjoint Evaluation
Authors: Ikram El-Hajri, Ouassim Karrakchou, Alejandro Mousist
09:30 – 09:55Invited Talk 1 (20 min presentation + 5 min Q&A)
Dr. Luismar Barbosa da Cruz Junior (University of São Paulo, Brazil)
Hyperspectral Imaging in Biomedical Sciences: Protocols for Selecting Spectral Regions and Improve Image Acquisition
10:00 – 10:30Coffee Break
10:30 – 10:55Invited Talk 2 (20 min presentation + 5 min Q&A)
Dr. Marlon Rodrigues Garcia (UNESP, Brazil)
Before the Network: The Acquisition Operator in Spectral Skin Imaging
10:55 – 11:20Accepted Paper 2 (20 min presentation + 5 min Q&A)
Nonlinear Spectral Unmixing for Enhanced Data Augmentation in Hyperspectral Anomaly Detection
Authors: Jungkwon Kim, Chi Zhang, Jihun Kim, Jeonghyeon Park, Kwangsun Yoo, Seok-Joo Byun
11:20 – 11:45Invited Talk 3 (20 min presentation + 5 min Q&A)
Amber Benecchi (MILAB / UGA)
Towards Standoff Concealed Object Detection Using False-Color Near-Infrared Imaging
11:45 – 12:15Expert Panel Discussion (30 min)
The Future of Deep Learning, Foundation Models, and Spectral Imaging
Moderator: Workshop Chair
Panelists: TBA
12:15 – 12:30Closing Remarks, Audience Discussion, and Wrap-Up
12:30 – 1:30Conference Lunch Break

Helpful words to know

While Finland has a very high level of English proficiency, and many signs are largely pictorial for universal understanding, some signage may be in Finnish. As such, it is helpful to know a few Finnish words associated with signage.

  • Sisään: In
  • Ulos: Out
  • Pääsisäänkäynti: Main entrance
  • Hissi: Elevator
  • Kerros/krs.: Floor
  • (Inva-)WC/(Inva)vessaa: (Accessible) restroom