Alternatives and similar repositories for Digital-Image-Processing

Users that are interested in Digital-Image-Processing are comparing it to the libraries listed below

• raoofnaushad / Land-Cover-Classification-using-Sentinel-2-Dataset
  Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …
  ☆92Updated last year
• iamtekson / deep-learning-for-earth-observation
  Application of deep learning for earth observation.
  ☆116Updated last year
• syamkakarla98 / Satellite_Imagery_Analysis
  Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
  ☆258Updated 3 years ago
• luissalgueiro / rs-esrgan
  ☆19Updated 3 months ago
• satellite-image-deep-learning / model-training-and-deployment
  Training and deployment of deep learning models for satellite & aerial imagery
  ☆62Updated 3 weeks ago
• iamtekson / landslide4sense-solution
  This repo is the solution for landslide4Sense challenge.
  ☆49Updated 3 years ago
• myeungun / SAR-water-segmentation
  ☆42Updated 2 years ago
• gicait / DL-for-satellite-image-analysis
  This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).
  ☆98Updated 4 years ago
• Kalit31 / Land-Cover-Analysis
  Land Cover Change Detection using Satellite Image Segmentation.
  ☆50Updated 8 months ago
• iamtekson / geospatial-machine-learning
  Machine learning in geospatial data
  ☆30Updated last year
• marine-debris / marine-debris.github.io
  Quick Start Guide for MARIDA (Marine Debris Archive)
  ☆73Updated last year
• jordancaraballo / nga-deep-learning
  NGA Deep Learning
  ☆28Updated 4 years ago
• mhscience / landslides_detection
  Machine learning tool to detect landslides from optical satellite imagery
  ☆108Updated 2 years ago
• sustainlab-group / ParcelDelineation
  ☆30Updated 5 years ago
• wangle53 / satellite-image-deep-learning
  Resources for deep learning with satellite & aerial imagery
  ☆31Updated 3 years ago
• pavlo-seimskyi / semantic-segmentation-satellite-imagery
  This repository is a complete walkthrough to download the "landcovernet" dataset that contains label masks for Sentinel 2 images from Afr…
  ☆24Updated 4 years ago
• orion29 / Satellite-Image-Segmentation-for-Flood-Damage-Analysis
  Satellite Image Segmentation for Flood Detection and Analysis using UNET with Resnet-34 as the back bone.
  ☆48Updated 4 years ago
• waldeland / deep_learning_forest_monitoring
  Estimate vegetation height from satellite images using deep learning.
  ☆21Updated 3 years ago
• florianbeyer / RandomForest-Classification
  Classifying remote sensing data with random forest
  ☆102Updated 4 years ago
• jasonmanesis / Ship-Detection-on-Remote-Sensing-Synthetic-Aperture-Radar-Data
  Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.
  ☆133Updated 3 years ago
• Althuwaynee / LaGriSU_Landslide-Grid-and-Slope-Units-QGIS_ToolPack
  LaGriSU v 0.2 (Landslide Grid and Slope Units): binary (1,0) samples extraction tool pack for landslides mapping in QGIS
  ☆26Updated 2 years ago
• superlinear-ai / agoro-field-boundary-detector
  Detect field boundaries using satellite imagery.
  ☆41Updated 3 years ago
• antoine-spahr / Deep-Satellite-Image-Segmentation
  Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)
  ☆27Updated 5 years ago
• xinluo2018 / WatNet
  A deep learning model for surface water mapping based on satellite optical image.
  ☆112Updated 4 years ago
• souvikmajumder26 / Land-Cover-Semantic-Segmentation-PyTorch
  🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai…
  ☆171Updated 3 months ago
• mayrajeo / lulc_ml
  Codebase for land cover classification with U-Net
  ☆23Updated 6 years ago
• JorisTimmermans / PythonWrapper4MODTRAN
  This software acts as a wrapper to run the MODTRAN RT model. It then uses the MODTRAN Interrogation Technique to extract variables requir…
  ☆10Updated 7 years ago
• aj1365 / RWVUNet
  This Keras code is for the paper Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery☆
  ☆19Updated last year
• Agri-Hub / Callisto-Dataset-Collection
  A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.
  ☆172Updated last year
• JenAlchimowicz / Semantic-segmentation-with-PyTorch-Satellite-Imagery
  Project developed for a Kaggle Competition organised by CentraleSupelec Deep Learning course. Final result: 1st place
  ☆37Updated 2 years ago