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attention-block-u-net

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

crop-segmentation-yield-estimation

The project was designed to develop a deep learning based convolutional neural network(CNN) model using satellite imageries of farmlands for the identification of crop types from images through a semantic segmentation task.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

dl_rs_gee

dubai-satellite-imagery-multiclass-segmentation

Simulation and performance analysis of 3 benchmark models (Standard U-Net, U-Net with Resnet backbone & U-Net with DeepLabV3+ backbone) for Multiclass Semantic Segmentation of Satellite Images.

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

earthengine-deep-learning

Land Cover Classification based on Landsat-8 imagery from Google Earth Engine

eye-of-the-sky

In this project, SegNet, U-Net etc. are used for semantic segmentation of satellite images. Based on keras and runs on GPU.

phenology-extraction

A repository folder regarding phenology extraction scripts utilizing existing packages (i.e. TIMESAT, CropPhenology) and proposing new methodologies

satellite-image-segmentation

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.

satelliteimagesegmentation

Semantic segmentation of satellite images to produce pixel-by-pixel labels of important regions. This was a project for my MScA-32017 advanced machine learning class.

semantic-segmentation

Semantic segmentation of remote sensing image, using DeepLabv3（PyTorch）

semantic-segmentation-of-satellite-imagery

In this mini project, I am going to segment aerial images using the U-Net's architecture

semantic-segmentation-on-sand-dunes-and-solar-farms

Semantic segmentation on satellite images of solar farms and sand dunes

u-net

U-NET used for semantic segmentation of cultivated land in remote sensing image

unet_satelite_image_segmentation

Using deep learning to tackle the problem of Deep Semantic Segmentation on satellite images