Collection of scripts for performing Sentinel-1 based analyses on agricultural fields
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Updated
Aug 1, 2022 - Jupyter Notebook
Collection of scripts for performing Sentinel-1 based analyses on agricultural fields
Classification of sea ice and open water in SAR images.
Evaluation of CNN and Random Forest algorithms for wet snow detection in SAR image
3rd Place Solution for the NTIRE 2021 Multi-modal Aerial View Object Classification Challenge - Track 1 (SAR) at CVPRW 2021
CropMapping of Partially Anotated Time Series Satellite Images with 3D Convolutional Neural Networks
Multi-dimensional GBSAR Imaging Using Spectral Estimation: A Model for Fast Displacement Monitoring
This script aims to determine the most suitable threshold for surface water extraction from Sentinel-1 image and provide a fully automatic processing chain for detecting, monitoring surface water and mapping water dynamics.
Proposal for Search and Rescue API and architecture for glider pilots
Using Sentinel-1 SAR GRD data to visualize glacial movement on Eastern Greenland via SNAP and Google Earth Pro
Code for creating the dataset and evaluating the classification of cryospheric zones
Repo for the analysis of high-resolution SAR data with Sub-Pixel Offset Tracking(SPOT). The code particularly focusses on the use and validation of inlier/outlier classification and data stacking through multi-kernel averaging. The package can perform detailed analysis and optimalisation of outlier detection and removal as well as time series SPOT.
General Feature Extraction in SAR Target Classification: A Contrastive Learning Approach Across Sensor Types
A spatially augmented reality project
A program for monitoring remote gpus and cpus with a graphical history
GECCO is a lightweight image classifier based on single MLP and graph convolutional layers. We find that our model can achieve up to 16x better latency than other state-of-the-art models. The paper for our model can be found at https://arxiv.org/abs/2402.00564
Master's thesis manuscript.
Final project of Remote Sensing Data course at MVA, ENS Paris-Saclay, 2021-2022.
Homeworks for the course Earth Observation Data Analysis, 2020, Sapienza University of Rome
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