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farshiddbs/README.md

Hi there, I'm Farshid Dabestani

I'm a Geomatics Engineer and M.Sc. student in Remote Sensing, focused on aerial/satellite image processing, photogrammetry, computer vision, and deep learning. I have practical experience in object detection from overhead imagery. Driven to continuously expand my skills, I'm always eager to collaborate with peers who share these passions.


Skills & Technical Focus

Category Tools & Frameworks
Deep Learning PyTorchUltralytics (YOLOv5/v8/v11 + OBB)OpenCVPointRendMask R-CNNU-Net / U-Net++ / Res-U-Net
Earth Observation Sentinel-1 (SAR)Sentinel-2Landsat 8-9GDALRasterioGeoPandasQGISGoogle Earth EngineENVI
Photogrammetry Agisoft MetashapeBentley ContextCapturePix4Dmapper
Languages PythonC++ (Basic) • LaTeX

📬 Connect with Me

LinkedIn Email

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  1. Mussel-Raft-Detection-in-VHR-Remote-Sensing-Imagery-by-YOLO-OBB Mussel-Raft-Detection-in-VHR-Remote-Sensing-Imagery-by-YOLO-OBB Public

    YOLO-OBB detection of mussel raft aquaculture in VHR satellite imagery — desktop GUI + YOLOv8/YOLO11 comparison

    Python

  2. Urban-Detection-for-SAR-Images-by-U-Net-family Urban-Detection-for-SAR-Images-by-U-Net-family Public

    SAR building detection from Sentinel-1 imagery using U-Net, Res-U-Net & U-Net++

    Jupyter Notebook

  3. Topographic-Correction-Methods Topographic-Correction-Methods Public

    Comparison of Topographic Correction for Landsat 8 Imagery (Cosine / C / Minnaert)

    Jupyter Notebook

  4. 2D-Non-Parametric-Models-for-Geometric-Correction 2D-Non-Parametric-Models-for-Geometric-Correction Public

    Geometric Correction of SPOT-5 Imagery Using 2D Non-Parametric Models

    Jupyter Notebook