LAB LOGA page on LabLog, a review site (not the lab's official page)
Shang Lab
Machine-translated · View original
The lab reads buildings and disaster damage from satellite synthetic aperture radar.
AboutAbout the lab
Reading cities and buildings from radar images.
The Shang Lab studies methods for analyzing man-made structures on the ground from data collected by satellite-mounted synthetic aperture radar (SAR).
Using the ASV features proposed by Associate Professor Shang, the lab has worked on extracting urban areas, estimating building orientation, and observing damage to structures before and after earthquakes.
From fiscal year 2025, the lab aims to extend its analysis methods to dual-polarization and compact-polarization observation modes, and to use them for analyzing information on damage to structures, measuring forest biomass, and monitoring crop conditions.
The lab studied a method to distinguish coniferous forests from broadleaf forests using L-band polarimetric SAR data, and published a paper on it in 2021. In 2025, it also presented ship detection at an international conference, combining the fluctuation of the degree of polarization with mean intensity.
Key terms
- Synthetic aperture radar (SAR)
- A type of high-resolution microwave imaging sensor. Satellite-mounted SAR can observe day and night, in any weather
- ASV features
- Features based on the Averaged Stokes Vector. They are used in analysis methods that detect man-made objects
ResearchResearch themes
SAR can observe day and night regardless of the weather, so it is expected to be useful for observing man-made objects, but its ability to analyze objects with complex shapes has been regarded as insufficient. Using an analysis method based on ASV features, this lab has developed methods that not only detect man-made objects but also estimate their shape, building orientation, and distribution density.
*Illustrative imageExtracting urban areas from polarization fluctuation
The lab studied a method that extracts urban areas using the fluctuation of the degree of polarization, one of the ASV features, and made it possible to also identify fine shape types such as three-dimensional structures, flat surfaces, and boundary lines. The lab published a paper on this in 2023.
*Illustrative imageEstimating building orientation
The lab has proposed two methods for estimating building orientation from SAR data: one based on physical analysis and one based on machine learning.
*Illustrative imageObserving earthquake damage to buildings
The lab has proposed a method for observing the level of damage to structures before and after an earthquake. In 2023, it presented the detection and analysis of buildings that collapsed in the Kumamoto earthquake at an international conference.
MembersFaculty
- Associate ProfessorFang Shang
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Shang Lab
Hobara LabSchool of Informatics and Engineering, Class II (Fusion)Artificial satellites / Electromagnetic environment / Electr…
Kikuchi LabSchool of Informatics and Engineering, Class II (Fusion)Heavy rainfall / next-generation weather radar / three-dimen…
Xiao LabSchool of Informatics and Engineering, Class II (Fusion)Electromagnetic environment / Computational electromagnetics
Hosokawa LabSchool of Informatics and Engineering, Class II (Fusion)Space Communication Environment / Space Communication Engine…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Radar image of Hawaii” Envisat satellite / CC BY-SA 3.0 igo (cropped)
- Extracting urban areas from polarization fluctuation: “Space radar image of Washington, D.C. DVIDS744627” Glenn Research Center / Public domain (cropped)
- Estimating building orientation: “Niger, Dosso (45), aerial view” NigerTZai / CC BY-SA 4.0 (cropped)
- Observing earthquake damage to buildings: “Collapse of Unreinforced Masonry Buildings, Iran (Persia) - 1990 Manjil Roudbar Earthquake” M. Mehrain, Dames and Moore. / Public domain (cropped)
- Related lab (Hobara Lab): “Lightning Pritzerbe 01 (MK)” Mathias Krumbholz / CC BY-SA 3.0 (cropped)
- Related lab (Kikuchi Lab): “2025 NOAA HWT Phased Array Radar Activity )” NOAA National Severe Storms Laboratory / CC BY 4.0 (cropped)
- Related lab (Xiao Lab): “Large Drive-In EMC Test Chamber” Binarysequence / CC BY-SA 3.0 (cropped)
- Related lab (Hosokawa Lab): “Aurora in Abisko near Torneträsk” Pavel.shyshkouski / CC BY-SA 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.