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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.

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?

Space business

The Shift to a Five Axelspace GRUS Satellite System. The roadmap to achieving profits of $100 million.

Axelspace released their plans to launch four GRUS small satellites. The company shared its revenue goals at the unveiling of its satellites. Along with a summary of the event, we here at the SORABATAKE editorial department would like to share an estimation of how many satellite images they will need to sell to achieve their goals.

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.

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.

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.

Space business

Sensing disasters and environmental changes in house! The future of risk management with small SAR satellites

We interviewed Mr. Ichiki, COO of iQPS Inc., which successfully launched its first small SAR satellite "IZANAGI" in December 2019, about his motivation to become a manager and the potential of the satellite business.

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.