phanvantrong Goto Github PK

38cloud-medium

Walk-through using u-net to detect clouds in satellite images.

3dfcnwithioulossforcropmapping

Implementation of "3D Fully Convolutional Neural Networks with Intersection Over Union Loss for Crop Mapping from Multi-Temporal Satellite Images"

a-deeply-supervised-image-fusion-network-for-change-detection-in-remote-sensing-images

Official implement of Paper：A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sening images

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

agriculturalnet-agnet-

State of the art model for classifying crop categories.

agriculture-land-identification

This repo is used to identify active agriculture lands

agriculturenet

apply_gis

สำหรับนิสิตวิชา 87651260 Applications of Geographic Information System การประยุกต์ระบบสารสนเทศทางภูมิศาสตร์

awesome-gee

A curated list of Google Earth Engine resources

awesome-ml-demos-with-ios

The challenge projects for Inferencing machine learning models on iOS

awesome-mobile-machine-learning

A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.

capsule-attention-networks

State-of-the-art crop type classification with Sentinel 2 imagery

change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

change-forest-cover

classification-in-cropland-mapping

Classification in Cropland Mapping

classification_fire_serie

scripts by classifiy images Landsat from 20 year of image Landsat

classify_farm_crop_from_satellite_images

Remote sensing

classifying-different-crop-categories-using-hyperspectral

Nowdays Hyperspectral data are more widely used for crop classification, we are trying to use Deep Learning to for the task of segmentation of Hyperspectral Satellite images to segment different Categories of crops. Data contains 128x128 pixels images having 7 channels or spectrums for input. We used a modified version of U-net for the purpose of Classification.

cnn-ensemble-classifier-land-use-classification

Convolutional Neural Network combined with ensemble classifier for land use classification

cnn-landcover

2D Convolutional Neural Network for land use and land cover classification of radar and hyperspectral images

cnn-sentinel

Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)

coded

Continuous Degradation Detection on the Google Earth Engine

convrnn-for-remote-sensing-spatio-temporal-analysis-

cover-crop-classification

Repository housing the data and code for a Machine Learning model that classifies species of cover crops using Tensor Flow

crop-classification

crop classification using deep learning on satellite images

crop-classification-1

Crop classification of fields in South Africa using multispectral imagery

crop-classification-2

crop-distribution-mapping.io

crop-mapping

It was a classification problem based on the Crop mapping using fused optical-radar dataset.

crop-thai-binh