宙畑 Sorabatake

List : データプラットフォーム

Machine Learning

Via using a Learned Model, we create a Machine Learning Model to Easily Detect Golf Courses [Code/Data Included]

Creating a machine learning model with transition learning by using a trained model makes it easier to perform image identification prediction. We will go into detail on images both with and without golf courses, and the coding behind them.

How to use

[How to Use Tellus from Scratch] Using Pseudo Data From for ALOS-3, Planned Launch in 2021 (Tellus OS/Development Environment)

In this article we will be introducing ALOS-3 pseudo data gathered on Tellus OS and how to use API on the Tellus development environment.

Case studies

Automatic Detection of Parking-Lot Space With Satellite Data Challenges and Points of Improvement for the Joint Project by Sakura Internet, akippa, and Ridge-i

During a talk session on August 4, it was announced that Sakura Internet, akippa, and Ridge-i are working together to develop an algorithm that uses satellite data to find space that can be rented out for parking cars, so we decided to talk with them about the challenges they face whilst developing this service, and the success they have made using Sharp's super-resolution technology.

How to use

Using Lightning Observation Data for Free! Learning About the Science Behind Different Types of Lightning

A long long time ago, lightning used to be feared. Even today, it still has a large impact on our everyday lives in the form of power outages and lightning surges. Lightning observation data allows us to understand when and where lightning will strike. Today, we will be looking into what causes lightning, and getting to learn how to use Tellus' lightning data.

Machine Learning

Get super-resolution for satellite images using SRCNN [with code]

In this article, we will try to get super-resolution images of actual satellite data using Tellus.

Notebooks

Imaging PALSAR-2 L1.1 using Tellus [with code]

This article describes how to extract and visualize complex images (images with phase and reflection intensity information of radio waves) from PALSAR-2 L1.1 data released on Tellus in accordance with the format called the CEOS format.