Awards & Nominations
PLUSCODES has received the following awards and nominations. Way to go!
Global Nominee
Insar HSV
High-Level Project Summary
The source code provided was created with the aim of separating the clouds (providing steam and therefore noise) by processing the image through the use of the opencv library. Note-from the original image (Figure 1), which has chosen two minimum values of H=0, S=0 and V=255, there is a mask (Figure 2) containing the areas of interest and can be manipulated by processes matrix modification, as shown in (Figure 3).
Link to Final Project
Link to Project "Demo"
Detailed Project Description
In some images, there is the presence of water vapor (clouds), rainbows and the like, this noise hinders the image processing.
In some images, there is the presence of water vapor (clouds), rainbows and the like, this noise hinders the image processing.
These noises are an atypical color distortion of the image which makes it stand out from the rest.
Space Agency Data
Advanced Rapid Imaging and Analysis (ARIA) Share
https://aria-share.jpl.nasa.gov/20140512-golden_guardian/
Hackathon Journey
It was an invigorating experience of a lot of learning, marathon, development and commitment to the challenge that our team chose. Our team worked a lot on Discord bringing us together and seeking knowledge among the members to choose a better resolution for the proposed challenge and we would like to thank our mentors, teachers and all those who shared knowledge with us.
References
“InSAR | Programa Riesgo Sísmico (PRS),” Programa Riesgo Sísmico (PRS), 2012. https://prs.dgf.uchile.cl/observatorio-g-data/insar/ (accessed Oct. 02, 2022).
Michel, G., Acevedo, G., Antonio, J., Rodríguez, Q., Miguel, H., Zamora, G., Carrión, F., Luis, V., Martínez, Á., Jorge, T., Hernández, A., Andrés, F., Guzmán, H., Iván, J., Delgado, V., & Anaya Díaz, M. (n.d.). Análisis del potencial de tecnología satelital InSAR para el monitoreo de la infraestructura carretera. Retrieved October 2, 2022, from https://imt.mx/archivos/Publicaciones/PublicacionTecnica/pt593.pdf
Sillerico, E., Marchamalo, M., Rejas, J. G., & Martínez, R. (2010). La técnica DInSAR: bases y aplicación a la medición de subsidencias del terreno en la construcción. Informes de La Construcción, 62(519), 47–53. https://doi.org/10.3989/ic.09.063
https://opencv.org/
http://riul.unanleon.edu.ni:8080/jspui/bitstream/123456789/8177/1/245048.pdf
http://computacion.ciens.ucv.ve/escueladecomputacion/app/webroot/files/reportes_tecnicos/RT-2017-01-66.pdf
https://www.nature.com/articles/s41598-019-50792-y
https://ieeexplore.ieee.org/abstract/document/6217174
Tags
#imaging #geological #insar #sar #algorithm #python #cor #opencv