Notebooks
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.
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?
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.
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.
No Image Pair required! Converting To and From Optical and SAR Images With Unsupervised Learning
In this article we use a yet-to-be released data set to convert SAR images into optical images, and vise-versa by using unsupervised learning that doesn't require image pairs.
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.
This is the forefront of the SAR image! Viewing images taken by ICEYE on Tellus!
One of the big up and coming technologies in the space industry right now is SAR (synthetic-aperture radar), and the global company on the forefront of this technology is a company stationed in Finland called ICEYE. This company recently made headlines when they achieved a SAR resolution of 25 cm.
The 4th Tellus Satellite Challenge is now underway! The theme is “coastline extraction.”
Here is an overview of the 4th Tellus Satellite Challenge, a competition for segmentation using satellite images, with details of the competition, helpful papers, and material.
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.
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.
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!
The conversion of SAR to optical image using pix2pix and analysis of another SAR image with this generator
Using GANs, which has become a popular topic in recent years as an image generation algorithm, I tried to convert non-intuitive SAR images into optical images.
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.
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.
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.
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
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.
The 3rd Tellus Satellite Challenge! ~ Check out the Winners’ Models ~
The third Tellus Satellite Challenge was held with a mission to "detect the extent of sea ice." In this article, we explain the challenge and introduce the approaches of the winning teams.