hkcaesar Goto Github PK

2017summer_duke

Deep learning based semantic segmentation on satellite images

adamczyk-2017

adversarial-deep-structural-networks

Adversarial Deep Structural Networks for Mammographic Mass Segmentation https://arxiv.org/abs/1612.05970

adversarialnetspapers

The classical papers and codes about generative adversarial nets

aerial-imagery

Data Science Research Project: Map poverty using satellite images.

afr-soil-prediction

Advances in rapid, low cost analysis of soil samples using infrared spectroscopy, georeferencing of soil samples, and greater availability of earth remote sensing data provide new opportunities for predicting soil functional properties at unsampled locations. Soil functional properties are those properties related to a soil’s capacity to support essential ecosystem services such as primary productivity, nutrient and water retention, and resistance to soil erosion. Digital mapping of soil functional properties, especially in data sparse regions such as Africa, is important for planning sustainable agricultural intensification and natural resources management.

akaze

Accelerated-KAZE Features with CUDA acceleration

algorithms

for algorithm implementation and testing.

altimpy

AltimPy - Set of tools for processing satellite altimetry data

anomaly_navigation

Anomaly Navigation - ANNA

archive-tools

Scripts for downloading and searching data (ALOS-2, Sentinel-1, TerraSAR-X)

ard-workflows

ARD processing workflows

astromap

Geocoded information about selected Astronomical Observatories

australiafires

Exploratory analysis of wild-fires in Australia & a machine learning approach for wildfire modeling in Google Earth Engine

automated-denoising-chain

GPU accelerated noise detection and removal on images

awesome-geospatial

Long list of geospatial tools and resources

awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

awesome-sentinel

curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellites

bacterial-segment-detect-and-classfify

This is a bacterial-segment-detect-and-classfify project based on python, and it's main idea is according to the color shape and pixel ditribution difference to cluster the bacterial, it refers some traditional image process metod, including corrde, expand and so on.

bagging_pu

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles

baidu-allreduce

banshee

Anomalies detection system for periodic metrics.

bass-net

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

batch-shipyard

Execute batch and HPC Dockerized workloads on Azure Batch with shared file system provisioning and linking support

bit_ai_iceberg

Iceberg Classifier Challenge

blob-explorer

Cluster image snippets in an interactive scatterplot and view them

bm3d-denoise

Using BM3D to denoise,the code I'm modified is from https://github.com/MarkPrecursor/BM3D_Denosing.git

bofclustering

This repository contains Python scripts that apply the Bag-of-Features model for the clustering of images.

buildingdetector

Uses Haar Cascades to detect buildings in Bing satellite images

buildingdetectors

Winning building footprint detector implementations from the SpaceNet challenges.