List : AI
What can be achieved with satellite data and AI has come so far! Asking Planet Labs and Synthetaic about cutting-edge AI applications for satellite data
Sorobata conducted an exclusive interview with Planet and Synthetaic about the case of finding Chinese reconnaissance balloons from satellite data!
“Even when we didn’t get any results, I never thought it was hopeless at all.” Revealing a Story Behind the New Project of KAGOME and NEC Changing World’s Tomato Cultivation!
We interviewed KAGOME and NEC ‘s new project of applying satellite data to tomato agriculture!
3rd Prize Approach of The 4th Tellus Satellite Challenge
This article was contributed by citron, the 3rd place winner of the 4th Tellus Satellite Challenge.
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.
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.
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.
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.
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.
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.