Type: User
Company: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing
Bio: Works as an assistant lecturer with Benha Univ., Geomatics Engineering Department, Egypt. Currently, a PhD researcher at (LIESMARS), Wuhan Univ., China.
Twitter: EngTamerSaleh
Location: Wuhan-China
Blog: https://bu.edu.eg/staff/tamermohamed3
tamer-saleh's Projects
Bias-Optimization-in-RPCs-of-Satellite-Imagery
Changelog CI is a GitHub Action that enables a project to automatically generate changelogs
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002
Class notes for CS 131.
DAHiTra: UNET Architecture with Hierarchical Transformers for Automated Building Damage Assessment Using Satellite Imagery
Supervised Change Detection for Floods. https://ieeexplore.ieee.org/document/9883132
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
Code for Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images
Flood Detection with Google Earth Engine
A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.
Flood detection using CNN
Deep Learning - CNN
Geospatial Ecology and Remote Sensing Lab
Sample notebooks for Kaggle competitions
PyTorch package for KL-CPD algorithm for change point and anomaly detection in time series
Code for transform between the json of labelme and VOC&COCO
PyTorch Tutorials, TensorFlow Tutorials and Machine Learning Algorithms
Dynamic tiling of raster data for OpenAerialMap + others
PyTorch implementation for "Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity"
A python library and collection of notebooks for making art with machine learning.
Download and visualize single or multiple classes from the huge Open Images v4 dataset
The goal of this project is to analyze the dynamics of small fishing vessel fleets and provide information to help policy-makers design legislation to prevent Illegal, Unreported, and Unregulated (IUU) fishing.
https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
implementation of REDNet (A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset)
Resources for deep learning with satellite & aerial imagery
Satellite Image Segmentation for Flood Detection and Analysis using UNET with Resnet-34 as the back bone.