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savetree

SAVeTrEE is a script within Google Earth Engine for classifying areas of vegetation mortality. It prompts the user for a year, duration, and spectral index for which a mortality map should be produced, then fits a trend line to an imagery time sequence of vegetative spectral index values calculated from Landsat multispectral data. The slope of the trend line, as well as the spectral index values, are used in determining the final classification of each pixel within the study area. Classification categories are: 1) Growing 2) Mortality (declining) 3) Stable Vegetation and 4) Stable Barren.

sbd-preprocess

SBD Dataset proprocessing code for CASENet

scgan

scikit-feature

open-source feature selection repository in python

scikit-image

Image processing in Python

scikit-image-paper

scriptingforremotesensingss2019

seadas

seal

Code for Simultaneous Edge Alignment and Learning (SEAL)

segmentation

Image Segmentation using K-Means

segmentation_models

Segmentation models with pretrained backbones. Keras.

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

segmentron

Support Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

semantic-segmentation-pytorch

Semantic Segmentation and Foreground and Background Separation

semiautomaticclassificationplugin

seminar-on-glaucoma-detection-using-ai

semseg

Semantic Segmentation in Pytorch

sen12ms

Repository for SEN12MS related codes and utilities

sen2r

Find, Download and Process Sentinel-2 Data

senseearth2020-changedetection

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

sentinel2-tools

Tools to query, download, preprocess and postprocess Sentinel-2 data

separable-bandit-classification-tex

sffcm

Superpixel-based fast FCM for color image segmentation-IEEE Transactions on Fuzzy Systems

sgpn

SGPN:Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation, CVPR, 2018

sgpn-1

shape-attentive-unet

Code for our paper SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. https://arxiv.org/pdf/2001.07645.pdf

siamcrnn

Tensorflow implementation for Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

siamese-change-detection

Targeted synthesis of multi-temporal remote sensing images for change detection using siamese neural networks

siamese-neural-network-for-change-detection

This repository contains the python code for a Siamese neural network to detect changes in aerial images using Tensorflow.

siammask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach