Medium Articles Since June
- Kyohei Yashima
- Sep 12
- 3 min read
Helios Inc. launched its Medium page in June, and so far, 10 articles have been posted! Here is a summary of each of them.
Why Multi-Modal Analysis Matters for Remote Sensing
This article explains that conventional remote sensing technology alone is not enough to solve current social issues, and that "multi-modal analysis," which combines multiple different types of data, has come to play a very important role.
Understanding Temporal Resolution in Satellite Remote Sensing: Why Timing Matters
This article explains the crucial concept of temporal resolution in remote sensing, detailing the main factors that determine it (such as the size of satellite constellations, orbit types, swath width, and atmospheric constraints) with examples from major satellite platforms.
Unpacking the Four Layers of Autonomous Mobile Robot Systems
Robots have become indispensable to our lives and economic activities, but how do these machines translate complex missions into autonomous actions? This article delves into four key layers to provide a clearer understanding of how this technology works.
Hyperspectral Data Analysis: Dimensionality Reduction using PCA
Multi/hyperspectral data, a type of satellite data, observes a wide wavelength range by dividing it into many bands. Because this results in a very large amount of data, a technique called dimensionality reduction is sometimes used. This article focuses on Principal Component Analysis (PCA), one of the most basic dimensionality reduction techniques, explaining how it works and introducing examples of its application to hyperspectral data.
Strategic Information Gathering: Powering Autonomous Drones with Monte Carlo Tree Search
This article proposes a method for more effective data collection by using drones to supplement areas where satellite data is lacking. It suggests equipping drones with an AI algorithm called Monte Carlo Tree Search (MCTS) to enable them to gather information autonomously and efficiently.
Spatial Resolution in Satellite Imaging
Spatial resolution is one of the most critical factors in satellite imaging, as it determines how much detail can be captured from space. This article explains the fundamentals of spatial resolution in satellite imagery, describing its main principles and the methods used to improve it.
Your First Steps with SAM: Segmenting City & Farmland from Satellite Views
Most satellite image analysis is based on a technique called "segmentation," which accurately outlines objects and areas within an image. This technology saw a major breakthrough with the introduction of Meta AI's Segment Anything Model (SAM). This article explores its potential by demonstrating the application of SAM to the segmentation of urban and farmland satellite images.
IGARSS 2025: Key Trends Shaping the Future of Remote Sensing
Every summer, the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) brings together researchers, industry leaders, and practitioners to exchange information on the latest advancements in Earth observation. This article reports on IGARSS 2025, which was held in Brisbane.
The Growing Need for Harmonized Multisensor Satellite Data
Satellite Earth observation has entered an era of abundant but fragmented data. While this situation creates opportunities, it also presents a new challenge: "How can we seamlessly combine data from different sensors?" This article explains methods for integrating them.
Creating a Flood Map Simulation with QGIS
Floods are one of the most devastating natural disasters, and mapping potential flood zones is essential for planning and risk management. Using QGIS, an open-source GIS platform, it is possible to simulate flood scenarios with elevation data and simple analysis tools. This article explains the specific method for doing so.
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