On-board detection of fast-moving targets using an MWIR sensor on a small satellite

The Medium Wavelength Infrared (MWIR) band is optimal for detecting high-intensity targets, e.g. fires. Infrared target detection and object recognition in the MWIR spectrum pose challenges for small satellites with resource constraints. The SeRANIS experimental satellite mission, under development at the University of the Bundeswehr Munich, features an MWIR sensor with a variable Field of View (FoV), but with a limited spatial resolution. This research aims to detect Hypersonic Glide Vehicle (HGV) traveling at speeds of approximately up to 7km/s in the upper atmosphere. The 1280*1024-pixel resolution offers a variable footprint ranging from 37km to 465km diagonally, facilitating the detection of intense heat signatures emitted by Hypersonic Glide Vehicles (HGVs). Combining the sensor’s spatial resolution, small target size, and high speed increases the complexity of developing detection methods. Additionally, the experimental satellite mission relies solely on a single MWIR band, increasing the complexity of precise target recognition. To address these concerns, this research proposes a three-part method: (a) hot spot detection, (b) computation and application of radiance threshold, and (c) filtering out static hot spots. However, the lack of a dataset for HGV detection poses a significant challenge for developing dedicated techniques. Therefore, this research introduces a strategy to create synthetic datasets, to replicate realistic sensor movement in orbit, inserting stationary targets with a range of radiance, and simulating moving targets with varying trajectories and radiance to validate the proposed methodology.

Authors

Institutions

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1117/12.3031665
Citations
1
Primary Topic
Spacecraft Design and Technology
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On-board detection of fast-moving targets using an MWIR sensor on a small satellite

Michael Schmitt, Christian Mundt, Sanjay Shantayya Swami, Bilal Mohd
1 citations
Spacecraft Design and Technology
1.30
article

On-board detection of fast-moving targets using an MWIR sensor on a small satellite

Michael Schmitt, Christian Mundt, Sanjay Shantayya Swami, Bilal Mohd
article en
1 citations

Abstract

The Medium Wavelength Infrared (MWIR) band is optimal for detecting high-intensity targets, e.g. fires. Infrared target detection and object recognition in the MWIR spectrum pose challenges for small satellites with resource constraints. The SeRANIS experimental satellite mission, under development at the University of the Bundeswehr Munich, features an MWIR sensor with a variable Field of View (FoV), but with a limited spatial resolution. This research aims to detect Hypersonic Glide Vehicle (HGV) traveling at speeds of approximately up to 7km/s in the upper atmosphere. The 1280*1024-pixel resolution offers a variable footprint ranging from 37km to 465km diagonally, facilitating the detection of intense heat signatures emitted by Hypersonic Glide Vehicles (HGVs). Combining the sensor’s spatial resolution, small target size, and high speed increases the complexity of developing detection methods. Additionally, the experimental satellite mission relies solely on a single MWIR band, increasing the complexity of precise target recognition. To address these concerns, this research proposes a three-part method: (a) hot spot detection, (b) computation and application of radiance threshold, and (c) filtering out static hot spots. However, the lack of a dataset for HGV detection poses a significant challenge for developing dedicated techniques. Therefore, this research introduces a strategy to create synthetic datasets, to replicate realistic sensor movement in orbit, inserting stationary targets with a range of radiance, and simulating moving targets with varying trajectories and radiance to validate the proposed methodology.

Universität der Bundeswehr München (DE)
Affordable and clean energy
Openalex Percentile: Top 12%
Spacecraft Design and Technology
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On-board detection of fast-moving targets using an MWIR sensor on a small satellite — Michael Schmitt, Christian Mundt, et al. · (2024) | TGRS Research Map | TGRS