Alternatives and similar repositories for Digital-Image-Processing

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

• iamtekson / deep-learning-for-earth-observation
  Application of deep learning for earth observation.
  ☆124Updated last year
• iamtekson / landslide4sense-solution
  This repo is the solution for landslide4Sense challenge.
  ☆54Updated 3 years ago
• satellite-image-deep-learning / model-training-and-deployment
  Training and deployment of deep learning models for satellite & aerial imagery
  ☆65Updated 4 months ago
• iamtekson / geospatial-machine-learning
  Machine learning in geospatial data
  ☆31Updated last year
• 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 …
  ☆99Updated 2 years ago
• luissalgueiro / rs-esrgan
  ☆20Updated 6 months ago
• syamkakarla98 / Satellite_Imagery_Analysis
  Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
  ☆263Updated 3 years ago
• marine-debris / marine-debris.github.io
  Quick Start Guide for MARIDA (Marine Debris Archive)
  ☆75Updated last year
• gicait / DL-for-satellite-image-analysis
  This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).
  ☆100Updated 4 years ago
• satellite-image-deep-learning / annotation
  Annotation of datasets for deep learning applied to satellite and aerial imagery
  ☆57Updated 6 months ago
• ManuelHuber-Github / Agricultural-SandboxNL
  Agricultural Monitoring exploiting Sentinel 1 and Sentinel 2. SandboxNL contains detailed explanations about the creation and usage of th…
  ☆24Updated 4 years ago
• wangle53 / satellite-image-deep-learning
  Resources for deep learning with satellite & aerial imagery
  ☆32Updated 3 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
• Evoland-Land-Monitoring-Evolution / sentinel2_superresolution
  Super-resolution of 10 Sentinel-2 bands to 5-meter resolution, starting from L1C or L2A (Theia format) products.
  ☆100Updated 8 months ago
• JavierLopatin / Python-Remote-Sensing-Scripts
  Python 3.X scripts for remote sensing processing
  ☆44Updated 2 years ago
• Servir-Mekong / sentinel-1-pipeline
  Sentinel 1 pipeline using SNAP GPT 7.0
  ☆39Updated 3 years ago
• moienr / SoilNet
  A Spatio-temporal Framework for Soil Property Prediction with Digital Soil Mapping (DSM)
  ☆50Updated last month
• Doodleverse / segmentation_gym
  A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using http…
  ☆51Updated 4 months ago
• wekeo / ai4EM_MOOC
  ☆47Updated 9 months ago
• samuel-c-santos / s2dr3_inferencia_automatizada_sentinel2
  Este repositório apresenta uma adaptação demonstrativa do módulo S2DR3, criado pela equipe Gamma Earth.
  ☆37Updated 7 months ago
• behzad89 / Enhancement_of_MODIS_NIDVI
  Enhancement of MODIS NIDVI to 10m resolution using U-Net
  ☆30Updated 2 years ago
• Hejarshahabi / GeoPatch
  GeoPatch is a package for generating patches from remote sensing data
  ☆55Updated 4 months ago
• mommermi / iadfschool2023_efficientlearning
  Resources for the GRSS IADF School 2023: Label-efficient Deep Learning in Remote Sensing
  ☆12Updated 2 years ago
• bhavesh907 / Crop-Classification
  crop classification using deep learning on satellite images
  ☆132Updated 4 years ago
• mhscience / landslides_detection
  Machine learning tool to detect landslides from optical satellite imagery
  ☆115Updated 3 years ago
• candepelliza / OBIA_Python
  ☆15Updated 2 years ago
• KonstantinosF / Flood-Detection---Satellite-Images
  This is a Semester Project which aim is to implement a Deep Learning model in order to detect Flood Events from Satellite Images
  ☆42Updated 3 years ago
• r-wenger / land-use-land-cover-datasets
  List of datasets and codes for remote sensing LULC applications.
  ☆51Updated last year
• Agri-Hub / Deep-Learning-for-Cloud-Gap-Filling-on-Normalized-Difference-Vegetation-Index
  A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index …
  ☆48Updated last year
• waldeland / deep_learning_forest_monitoring
  Estimate vegetation height from satellite images using deep learning.
  ☆21Updated 3 years ago