宙畑 Sorabatake

List : SAR

Case studies

Japanese space startups discuss how satellite data usage can be accelerated

Satellite data in the earth observation field rapidly expands and influences diverse industries, but challenges remain for further diffusion. Three companies (Synspective,SPACE SHIFT,Warpspace) spoke to us about their businesses and the challenges and prospects for satellite data utilization.

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.

Tellus

Using InSAR to Examine Mountains On Tellus [Code Included]

In this article, we will be implementing InSAR from scratch to examine subsidence. This time, we will be looking at irregular surfaces such as mountains.

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.

Notebooks

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.

Machine Learning

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.

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 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.

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.

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

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.