rsip4sh Goto Github PK

dove_image_preprocessing

Tools for pre-processing Dove imagery (masking, spectral harmonization, topographical correction)

downscaling

The downscaling Python script allows to enhance X-ray computed tomography (XCT) images of heterogeneous porous sample and extract pore space geometry without performing a preliminary noise filtering.

drn

Dilated Residual Networks

drntm-net

Source code for "Detail Restoration and Tone Mapping Networks for X-Ray Security Inspection."

droc

Digitial X-Ray Image Manager.

dsfanet

Code for Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

dsfanet-1

Implementation of Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

dsmscn

Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.

dsrg

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

dtcdscn

the implementation of the paper"Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model "

earth

Application for processing and analysing Earth observation data

earthengine

Change Detection with Google Earth Engine Imagery

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

earthmapper

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

eco

Matlab implementation of the ECO tracker.

edge-detection-and-noise-removal

Implementation of standard filtering techniques for image enhancement, edge detection and noise removal

eeg_classification_with_noisy_labels

elci

ELCI: Edge-based Labeled Crack Image

em-dl-remote-sensing-images-change-detection

a novel change detection method for high resolution remote sensing images based on edge mapping and deep learning

envi-5.0-docset

ENVI 5.0 docset creator for Dash (http://kapeli.com/dash/)

envipyengine

envipyengine

epipolarconsistency

Consistency Conditions for any two X-ray images.

eurosat

Train Convolutional Neural Network to predict land cover type from multispectral Sentinel-2 satellite imagery

eurosat-1

EuroSAT: Land Use and Land Cover Classification with Sentinel-2

examplemodels

A collection of example models generated with the ENVI Modeler.

f-statistic-loss-nips-2018

Learning Deep Disentangled Embeddings with the F-Statistic Loss (NIPS 2018)

fabric-image-registration-nets

Unsupervised, deformable or non-rigid image registration.

far-ho

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

farmerbuddy

FarmerBuddy is a tool designed to help farmers best care for their drops. Detect crop disease by image of plant leaf. Uses Crowd AI PlantVillage dataset and transfer learning on Google's InceptionV3 model trained on ImageNet data set to identify disease. Then leverages LIME to determine which area of the leaf displays characteristics of the disease in order to teach the farmer how to spot it in the future.