Seyed Ali Ahmadi (@Seyed-Ali-Ahmadi)
  • Stars
    star
    373
  • Global Rank 73,023 (Top 3 %)
  • Followers 81
  • Following 57
  • Registered almost 5 years ago
  • Most used languages
    Python
    11.1 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 21,700
  • Country Ranking

Top repositories

1

Awesome_Satellite_Benchmark_Datasets

Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
Jupyter Notebook
276
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2

Python-for-Remote-Sensing

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Jupyter Notebook
31
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3

Digital-Image-Processing

This is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T. University of technology. The course material is currently uploaded in Google Classroom, but we are considering to distribute some of the material here for public usage. You can use the codes and theories of digital image processing freely with no licences; but using the slides and other copyrighted material without making citations is forbidden.
Jupyter Notebook
25
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4

PythonSchool

This is considered to be a place to store useful material for learning Python. It's also the base repo for the Python courses in KNTU.
Jupyter Notebook
11
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5

FirePred

Contains codes of the paper "FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction" using environmental variables
Jupyter Notebook
10
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6

Building-Damage-Assessment

This is part of my thesis which is publicly available here.
Jupyter Notebook
6
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7

BDA_SKUNet

Repository for "BD-SKUNet: Selective-Kernel UNets for Building Damage Assessment in High-Resolution Satellite Images"
Jupyter Notebook
5
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8

ISRC-PY4EO-Course

This is an advanced course of Python applications in remote sensing.
Jupyter Notebook
4
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9

Graph-based_ITCD

Codes for paper "Graph-based individual tree crown detection"
Python
3
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