List : 衛星画像
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.
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 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.
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.
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.
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.
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!
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.
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?
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.
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.
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.