giser18,github

scale-sets-image-analysis-toolkit

Scale-Sets Toolkit for Segmentation of Remote Sensing Images

scattnet

Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

segmentation-slic-slico

A Python program for medical images segmentation

segmentation-unet-maskrcnn

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

self_taught

This repository contains the exercises for "The Self-Taught Programmer: The Definitive Guide to Programming Professionally."

semantic-segmentation

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

semantic-segmentation-1

采用Pytorch的入门语义分割项目，支持的网络有Unet和Segnet；遥感语义分割；Unet；Segnet；Remote sensing semantic segmentation；

semantic-segmentation-2

Digital Image Processing Course project: Semantic Segmentation using Keras (FCN, UNET, ENET, CRFasRNN)

semantic-segmentation-of-remote-sensing-data

(Work In Progress)

semantic-segmentation-of-remote-sensing-images

遥感图像的语义分割，分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型，keras+python

semantic-segmentation-of-remote-sensing-images-1

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

semanticsegmentation_dl

Resources of semantic segmantation based on Deep Learning model

semi-supervised-image-semantic-segmentation

A simple consistency training framework for semi-supervised image semantic segmentation

semi_automated_obia_processing_with_local_uspo

This repository contains the computer code of a semi-automated framework for land cover mapping using OBIA and local USPO

senet_keras

Implementation of Squeeze-and-Excitiation Network on Keras

sentinelgif

Create High Resolution GIF animation From Sentinel-2 images, based on vincentsarago/landsatgif

ship_detection

Ship detection and localization from satellite images

site

Course materials for the Automating GIS processes -course, University of Helsinki, Finland

skyunet

Remote Sensing Image Segmentation using U-Net

slic-superpixels

Implementation of the SLIC superpixel algorithm to work with OpenCV

slic_superpixel_classification_network

Image segmentation using superpixels generated from SLIC

smaat-unet

PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"

smoothly-blend-image-patches

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

This is the source code of my graduation thesis named Cloud Removal for High-resolution Remote Sensing Imagery based on Generative Adversarial Networks. In this work, I proposed a novel model called spatial attention generative adversarial networks or SpA GAN, which use spatial attention networks (SPANet) as generator.

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