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Search results for segmentation satellite

43 search results found

Robosat ⭐ 1,639

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Ternausnetv2 ⭐ 500

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Satellite Segmentation ⭐ 392

Torchsat ⭐ 285

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Geospatial Machine Learning ⭐ 196

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Keras Unet ⭐ 194

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Deep Unet For Satellite Image Segmentation ⭐ 155

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Kaggle_dstl_submission ⭐ 146

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

Senseearth2020 Changedetection ⭐ 124

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

Dstl_unet ⭐ 107

Dstl Satellite Imagery Feature Detection

Mumbai Slum Segmentation ⭐ 90

Mumbai slum segmentation and change detection on statellite images.

Building Footprint Segmentation ⭐ 86

Building footprint segmentation from satellite and aerial imagery

Unsupervised Segmentation ⭐ 67

A high performance impermentation of Unsupervised Image Segmentation by Backpropagation - Asako Kanezaki

Segmentation Unet Maskrcnn ⭐ 61

Code for satellite image segmentation using Unet or Mask RCNN and comparing these two approaches.

Vector Map Generation From Aerial Imagery Using Deep Learning Geospatial Unet ⭐ 59

We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.

Experiments with satellite image data

U Net Satellite ⭐ 51

Road Detection from satellite images using U-Net.

Road_building_extraction ⭐ 45

Using Pytorch implementation of U-Net architecture for road and building extraction

Deepsatellitedata ⭐ 39

List of labelled remote sensing datasets for use in deep learning.

Land Cover Analysis ⭐ 35

Land Cover Change Detection using Satellite Image Segmentation.

Awesome Building Detection ⭐ 33

Papers for Building Detection from Remote Sensing Images

Multi3net ⭐ 32

Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery

Road Segmentation ⭐ 31

Satellite image segmentation (extraction of roads from satellite images) through convolutional neural networks (CNNs).

Kaggle Satellite Imagery Feature Detection ⭐ 24

Satellite Imagery Feature Detection (68 out of 419)

Counting Trees Using Satellite Images ⭐ 22

This study investigates the aspect of localizing and counting trees using satellite images to create an inventory of incoming and outgoing trees for an annual tree inspections.

Kaggle Understanding Clouds 69th Solution ⭐ 19

69th(Silver) Solution of "Understanding Clouds from Satellite Images | Kaggle" with PyTorch-Lightning

a C++ implementation of projection satellites into geo-referenced images and evaluating NLOS (Non-Line of Sight))

Broad Area Satellite Imagery Semantic Segmentation

Forest Prediction ⭐ 11

🛰 Deep learning for deforestation classification and forecasting in satellite imagery

Framework for Image Segmentation/Classification of Satellite Images

Mtl_pan_seg ⭐ 10

Implementation of "Multi-task Deep Learning for Satellite Image Pansharpening and Segmentation"

Landslides_detection ⭐ 10

Machine learning tool to detect landslides from optical satellite imagery

Satellite Image Segmentation Using U Net ⭐ 8

The scripts of a 3 month project at the Indian Space Research Organisation,Dehradun. The scripts contain code for a U-Net model for Satellite Image Segmentation

Unet_sem_seg ⭐ 8

Semantic segmentation of satellite imagery using U-nets (U-nets: https://arxiv.org/abs/1505.04597)

Satellite Image Segmentation ⭐ 8

A prototype system for semantic segmentation of Satellite Images. The executable file is 700MB, model parameters are 40MB, and the computation cost is 266 in GFLOPS.

Airpollution ⭐ 7

Satellite Image Segmentation ⭐ 7

My final project for the Metis Data Science Bootcamp, satellite image segmentation, in partnership with Digital Globe.

Iterativesegmentation ⭐ 6

Keras implementation of 'Learning Iterative Processes with Recurrent Neural Networks to Correct Satellite Image Classification Maps'

2017summer_duke ⭐ 6

Deep learning based semantic segmentation on satellite images

Remote Sensing Satellite Semantic Segmentation Using Deeplabv3 ⭐ 5

Semantic_segmentation_satellite_image ⭐ 5

This repository contains all the codes and data for semantic geologic segmentation of Landsat 8 images

Cloud_snow_segmentation ⭐ 5

Research work for cloud and snow segmentation problem using meteorological satellite Electro-L №2 multispectral data, also suitable for GOES-16,17 multispectral data. This project includes all needed functions and utils for preprocessing multispectral data to make your own dataset for cloud and (or) snow segmentation problem

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