List : データ利用
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.