宙畑 Sorabatake

List : データ利用

New release

Automatic extraction of changes in cities and buildings from two satellite images! New Tellus tool “Tellus-DEUCE” is now available.

We will introduce what you can do with the new Tellus tool "Tellus-DEUCE," released on the 25th of February 2021, which can automatically extract the difference between two selected satellite images using AI, showing some actual screenshots and how to use it.

Machine Learning

The 4th Tellus Satellite Challenge! Explanation of approaches taken by the winners

"Coastline extraction" was the theme of the 4th Tellus Satellite Challenge. In this article, we will look at the approaches taken by the winners, make comparisons, and summarize their methods so that they can be applied to other (satellite) image data competitions.

Case studies

We are proud of our services because we have been able to do "this" The road to social implementation – Skymatics, a company that solves many industrial problems from the sky.

Skymatics solves all industrial problems by remote sensing and its own analysis technology. This interview is a must-read for those who are familiar with "social implementation with advanced technologies". The keywords are "persistence", "price setting", and "discernment of issues".

Notebooks

Is the Susanoo Shrine built in a location that is resistant to flood damage? We took a look at the enshrined deity and used satellite data to examine the city it is in.

In this article, we will be using the satellite data platform "Tellus" to look into a series of shrines called the Yasaka Shrines, which have both Buddhist and Shinto aspects to them. We will look specifically at their Hikawa sect which enshrines the deity Susanoo. Looking at Shrines From Space! Pretty Cool, Eh?

How to use

Using Amedas Data to Visualize Temperature Forecasts and Rainfall in Real Time.

For this article, we used the Amedas minute-by-minute data available on Tellus for our analysis. We looked specifically at the minute-by-minute Amedas data in northern Kyushu for rainfall that occurred between 5th and 6th of July 2017.

Machine Learning

Using SSD to Perform Object Detection on Airplanes

For readers who want to try using machine learning and satellite data to do something interesting, we'd like to suggest trying out object detection. In this article, we attempt to use satellite data in order to perform object detection on airplanes.

New release

TelluSAR is finally here! Thorough explanation of how to use the official analysis tool”TelluSAR (Teru-sa)” API!

TelluSAR, the official tool of Tellus Market has been released. It is a tool that uses satellite images from two different times to show ground surface subsidence and uplift on Earth. This article will explain how to use the tool, focusing especially on the API version.

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.

Introduction

Structural Classifications Using SAR Polarimetry (Polarimetric Decomposition)

In today's article, we will be testing out whether or not you can use polarimetric decomposition to differentiate between natural and man-made objects.

Introduction

Do Smaller Antenna Really Correlate With Higher Resolution? Thorough Examination of One of SAR’s Mysteries Without Using any Formulas!

This time, we are speaking with a broad group of people who are interested in SAR images, including an engineer who processes them, to a business developer, obsessed with the SAR industry, to learn what determines the resolution of SAR images from top to bottom.

Machine Learning

The “Extracting Difference Between Two Points of Satellite Data” Challenge — A Look at ABEJA’s Difference Extracting Algorithm

We went behind the scenes to ask ABEJA about the applications and future of their difference extracting algorithm!

Notebooks

Using Tellus to Determine Land Subsidence via InSAR Analysis [Code Included]

This article will go over coding algorithms for the interferometric analysis of SAR images. Anyone can use this code to create their own InSAR images.

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.

Case studies

JICA aids the Cambodian Countryside with Hydroelectric Power. How extensive is the electricity? Satellites beautifully show us the exact incredible extent!

JICA's Evaluation Department is using satellite data to evaluate the effectiveness of their foreign aid. What exactly is the Evaluation Department's idea for using satellites?

Machine Learning

Super-Resolution Processing of Satellite Images Using Sharp’s Deep Learning Model

Super-resolution is a technique to artificially raise the resolution of an image. Super-resolution is one of the hot topics in the field of machine learning, but what happens when you combine it with satellite imagery? We went to the Sharp Corporation Research and Development HQ, and asked the manager of the 3rd Research Team for Communication & Image Technology Laboratories, Tomohiro Ikai, and researcher, Eiichi Sasaki about the future of this technology.

Notebooks

Tellus Takes on the Challenge of Calculating Land Coverage Using L2.1 Processing Data from PALSAR-2

Tellus Takes on the Challenge of Calculating Land Coverage Using L2.1 Processing Data from PALSAR-2