[ISPRS Journal of Photogrammetry and Remote Sensing] Detecting Marine Pollutants and Sea Surface Features with Deep Learning in Sentinel-2 Imagery
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Updated
Jul 15, 2024 - Python
[ISPRS Journal of Photogrammetry and Remote Sensing] Detecting Marine Pollutants and Sea Surface Features with Deep Learning in Sentinel-2 Imagery
Semantic segmentation of marine anomalies using semi-supervised learning (FixMatch for semantic segmentation) on Sentinel-2 multispectral images.
Quick Start Guide for MARIDA (Marine Debris Archive)
A tool to automatically label, classify, and count marine debris in your aerial imagery. Designed to automate the tedious parts of standing stock surveys for shoreline stranded marine debris. Powered by AI!
Using topographic attributes to identify zones of accumulation. Based on count data using EU protocol. Submitted for peer review.
Marine Debris Detection with Commercial Satellite Imagery and Deep Learning.
Analysis and data of beach-litter-surveys in Switzerland 2015-2021. Notebooks and maps for documenting and producing basic analysis of survey results.
Research center for the creation and development of marine technology, supported by the latest and best technological innovations with access to multiple chains of future digital currencies.
Using Bayes theoreom to determine the probability of finding an object on the beach. An analysis over six years and hundreds of surveys
Create plastic trash aerial image dataset - HAIDA
Collection of workbooks for analysis of beach litter surveys in Switzerland
An open data model for exchange and storage of beach debris data
a web adaptation of a children's book
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