Within Vision Filters
Why a Plane Can Still Look Unknown
Aircraft filters work best when visual tracks are checked against flight data instead of relying on a bright blob's appearance alone.
On this page
- Why aircraft look strange in sky video
- How flight data helps confirm routine traffic
- Where aircraft matching can still fail
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Introduction
In an automated instrumented UFO detector, aircraft are one of the largest sources of false alerts. The difficulty is that a distant airliner rarely resembles the neat side-on photographs used to train image-recognition systems. Instead, it may appear as a flashing point, an overexposed blob, a short streak, or a heat source only a few pixels across. For that reason, reliable aircraft filtering depends on combining visual evidence with independent flight information rather than asking a neural network to identify a tiny object from appearance alone. Multi-sensor confirmation—especially comparison against Automatic Dependent Surveillance–Broadcast (ADS-B) flight data—allows a system to distinguish ordinary air traffic from events that genuinely require further review. [MDPI]mdpi.comCommissioning an All-Sky Infrared Camera Array for…by L Domine · 2025 · Cited by 11 — Using a You Only Look Once (YOLO) machine le…
Why aircraft look strange in sky video
Machine vision has become remarkably capable at recognising objects in ordinary photographs, but sky-monitoring cameras operate under very different conditions.
An aircraft recorded by a fixed all-sky camera is often:
- only a few pixels wide;
- viewed from unusual angles;
- partially obscured by haze or cloud;
- saturated by sunlight or landing lights;
- interrupted by flashing anti-collision lights;
- distorted by atmospheric turbulence or camera motion.
These effects mean that two frames showing the same aircraft can appear dramatically different. A bright navigation light may dominate one frame, while the fuselage is barely visible in the next. Infrared cameras introduce another complication: engines and warm airframes produce thermal signatures that do not resemble conventional visible-light photographs.
Modern object detectors such as YOLO are designed to recognise patterns, but recognition accuracy inevitably declines as targets become smaller, noisier or more heavily distorted. Aircraft-detection research consistently shows that viewpoint, scale, background clutter and atmospheric effects remain important limitations even with advanced deep-learning models. [arXiv+2MDPI]arxiv.orgA Deep Comprehensive Review of Aircraft Detection…This paper critically evaluates and compares a suite of advanced object detecti…
For an automated UAP observatory, this means that the question is not simply, “Does this image look like a plane?” but, “Does every available source of evidence agree that this behaves like known aircraft traffic?”
How flight data helps confirm routine traffic
Visual appearance answers only part of that question. Aircraft filtering becomes much more reliable when the image is checked against independently measured flight information.
ADS-B is particularly valuable because many aircraft continuously broadcast their identity, GPS-derived position, altitude, heading and velocity. If a detected object occupies the same place in the sky at the same time as an ADS-B track, the software gains evidence from two independent sources rather than one. The FAA describes ADS-B as a surveillance system that provides precise aircraft position and identification information to both controllers and pilots. [Federal Aviation Administration]faa.govFederal Aviation AdministrationADS-B FAQ | Federal Aviation Administration3 Mar 2025 — With ADS-B, pilots can see what controllers see…
For automated UFO detection, the matching process typically works as follows:
- A vision system detects and tracks an object through successive frames.
- Camera calibration converts image coordinates into a direction in the sky.
- The software queries nearby ADS-B tracks for the corresponding time.
- Predicted aircraft positions are projected into the camera’s field of view.
- Agreement in direction, motion and timing strongly suggests that the object is routine air traffic.
This approach is considerably stronger than relying on appearance alone. Even when the aircraft itself occupies only a handful of pixels, its measured trajectory can still align closely with an independently reported flight path.
The Galileo Project has adopted this philosophy in its observatory design. Its published system combines YOLO object detection, SORT trajectory tracking and radio collection of ADS-B aircraft positions to establish a baseline census of ordinary aerial traffic before examining potentially anomalous events. [MDPI+2World Scientific]mdpi.comCommissioning an All-Sky Infrared Camera Array for…by L Domine · 2025 · Cited by 11 — Using a You Only Look Once (YOLO) machine le…
An important advantage is that trajectory consistency often proves more informative than image shape. A tiny flashing object moving at the speed and heading expected from a scheduled airliner is far less mysterious once its independently reported flight path matches the observed track.
Why image recognition alone produces false confidence
A neural network can assign a high probability to an incorrect label if it has limited visual information.
Several situations illustrate why appearance alone is insufficient:
- Landing lights can make an approaching aircraft resemble a stationary bright orb.
- Banking turns expose different lighting arrangements from one moment to the next.
- Long exposures create elongated streaks rather than recognisable aircraft shapes.
- Infrared imagery emphasises engine heat instead of visible structure.
- Atmospheric scintillation causes brightness fluctuations that may resemble unusual motion.
None of these effects changes the underlying aircraft. They merely change the image reaching the camera.
Flight metadata provides an independent check that is unaffected by glare, blooming or camera exposure. When both visual tracking and flight telemetry agree, confidence increases substantially. When they disagree, the event is flagged for closer examination rather than immediately classified as anomalous.
This distinction is especially important in automated UAP systems because the objective is conservative filtering. Eliminating ordinary aircraft reliably is more valuable than forcing every detection into a visual category.
Where aircraft matching can still fail
Although ADS-B greatly improves aircraft filtering, it is not a perfect ground truth.
Not every aircraft broadcasts publicly available ADS-B information. Military operations, some government flights, certain historic aircraft and flights operating outside mandated airspace may not appear in public feeds. Coverage also varies with receiver networks, terrain and radio line of sight. [Federal Aviation Administration+2superiorskies.org]faa.govFederal Aviation AdministrationADS-B FAQ | Federal Aviation Administration3 Mar 2025 — With ADS-B, pilots can see what controllers see…
Timing and calibration also matter. Even a small clock error between the camera and flight-data receiver can produce an apparent positional mismatch. Likewise, inaccurate camera orientation or lens calibration can shift projected aircraft positions enough to prevent successful correlation.
Another limitation is that ADS-B itself should not be treated as infallible. Researchers have documented security and integrity concerns because the protocol was not originally designed with strong authentication. While this is primarily an aviation-security issue rather than a UAP issue, it reinforces the broader principle that robust systems compare multiple independent measurements instead of trusting any single source absolutely. [PMC]pmc.ncbi.nlm.nih.govPMCAutomatic dependent surveillance-broadcast (ADS-Bby W Ahmed · 2025 · Cited by 12 — Despite these advantages, ADS-B faces significant security vulnerabilities due to its open design an…
Consequently, well-designed observatories use flight databases as one layer within a broader evidence chain that also includes calibrated optics, trajectory reconstruction, timestamps and, where available, infrared, radio or other sensor modalities.
Why evidence fusion is the better filter
The practical lesson for automated instrumented UFO detectors is that aircraft filtering is fundamentally an evidence-fusion problem rather than an image-classification problem.
Image recognition answers, “What does this resemble?” Flight correlation answers, “Does this object behave like known air traffic?” Those questions are related but not identical.
By combining computer vision with calibrated tracking and independent flight data, automated systems can reject the vast majority of routine aircraft detections while leaving genuinely unmatched events for careful human analysis. That approach reduces false positives without claiming that appearance alone can determine whether an object is ordinary or genuinely unexplained. [MDPI+2World Scientific]mdpi.comCommissioning an All-Sky Infrared Camera Array for…by L Domine · 2025 · Cited by 11 — Using a You Only Look Once (YOLO) machine le…
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Further Reading
Books and field guides related to Why a Plane Can Still Look Unknown. Use these as the next step if you want deeper reading beyond the article.
Artificial Intelligence
Rating: 4.5/5 from 10 Google Books ratings
General AI concepts supporting automated classification.
Computer Vision
First published 2010. Subjects: Computer algorithms, Bildverarbeitung, Computer vision, Image processing, Maschinelles Sehen.
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Endnotes
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Source: mdpi.com
Link: https://www.mdpi.com/1424-8220/25/3/783Source snippet
Commissioning an All-Sky Infrared Camera Array for...by L Domine · 2025 · Cited by 11 — Using a You Only Look Once (YOLO) machine le...
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Source: faa.gov
Link: https://www.faa.gov/air_traffic/technology/adsb/faqSource snippet
Federal Aviation AdministrationADS-B FAQ | Federal Aviation Administration3 Mar 2025 — With ADS-B, pilots can see what controllers see...
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Source: arxiv.org
Link: https://arxiv.org/html/2404.02877v3Source snippet
A Deep Comprehensive [Review]({{ 'review/' | relative_url }}) of Aircraft Detection...This paper critically evaluates and compares a suite of advanced object detecti...
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Source: mdpi.com
Link: https://www.mdpi.com/2072-4292/17/6/1001Source snippet
RMVAD-YOLO: A Robust Multi-View Aircraft Detection...by K Li · 2025 · Cited by 9 — We propose RMVAD-YOLO, a multi-view aircraft dete...
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Source: mdpi.com
Link: https://www.mdpi.com/1424-8220/25/10/3231Source snippet
First, we employed the Shi–Tomasi corner detection algorithm and the...Read more...
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Source: faa.gov
Title: Federal Aviation Administration Automatic Dependent Surveillance
Link: https://www.faa.gov/about/office_org/headquarters_offices/avs/offices/afx/afs/afs400/afs410/ads-bSource snippet
Federal Aviation AdministrationAutomatic Dependent Surveillance - Broadcast (ADS-B)29 Sept 2025 — ADS-B is an advanced surveillance techn...
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Source: superiorskies.org
Link: https://superiorskies.org/learn/adsb-technologySource snippet
Aircraft operating in uncontrolled airspace without ADS-B equipment will not appear in ADS-B feeds.Read more...
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Source: pmc.ncbi.nlm.nih.gov
Title: PMCAutomatic dependent surveillance-broadcast (ADS-B
Link: https://pmc.ncbi.nlm.nih.gov/articles/PMC12192918/Source snippet
by W Ahmed · 2025 · Cited by 12 — Despite these advantages, ADS-B faces significant security vulnerabilities due to its open design an...
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Source: arxiv.org
Link: https://arxiv.org/html/2506.00125v1Source snippet
1 Introduction30 May 2025 — The Galileo Project is a multifaceted scientific research program study unidentified aerial phenomena (UAPs)...
Published: May 2025
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Source: arxiv.org
Link: https://arxiv.org/html/2510.08333v1Source snippet
New Machine Learning Approaches for Intrusion Detection...9 Oct 2025 — Automated Dependent Surveillance-Broadcast (ADS-B) technology is...
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Source: worldscientific.com
Link: https://www.worldscientific.com/doi/full/10.1142/S2251171723400081?srsltid=AfmBOooVr0ycY9BBUTECxXAVNtN4chaaAcaPDbXNdnQF-uwynmJhPyXNSource snippet
the algorithm checks whether ADS-B data...
Additional References
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Source: avi-loeb.medium.com
Link: https://avi-loeb.medium.com/commissioning-data-on-half-a-million-objects-in-the-sky-from-the-galileo-project-observatory-are-a23bd084233aSource snippet
Data on Half a Million Objects in the Sky from...Airplane positions from Automatic Dependent Surveillance–Broadcast (ADS-B) data was col...
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Source: researchgate.net
Link: https://www.researchgate.net/publication/399827395_Web-Based_Aircraft_Detection_and_Tracking_System_Using_Computer_Vision_and_ADS-B_Data_Fusion_for_a_Resource-_Constrained_Airspace_Surveillance_SystemSource snippet
Web-Based Aircraft Detection and Tracking System Using...31 Jan 2026 — The system employs YOLOv8n deep learning architecture for visual...
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Source: medium.com
Link: https://medium.com/%40angelinatsuboi/detecting-hacker-aircraft-using-artificial-intelligence-ec249baa866b -
Source: researchgate.net
Link: https://www.researchgate.net/publication/355329242_Aircraft_recognition_from_remote_sensing_images_based_on_machine_visionSource snippet
Filter Detecting and recognising objects in natural scenes are a challenging machine vision problem.Read more...
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Source: youtube.com
Link: https://www.youtube.com/watch?v=uJtER5ahdPYSource snippet
Loeb discusses the project's innovative approach to addressing the lack of publicly available...
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Source: leonarddavid.com
Title: Avi Loeb details the Galileo Project effort.Read more
Link: https://www.leonarddavid.com/unidentified-aerial-phenomena-research-paper-offers-insight-on-outing-human-bias-and-error/Source snippet
Unidentified Aerial Phenomena: Research Paper Offers...9 Mar 2023 — These sensors provide an accurate resolved image of relative thermal...
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Source: galileo.hsites.harvard.edu
Link: https://galileo.hsites.harvard.edu/publicationsSource snippet
The Galileo ProjectUnidentified Aerial Phenomena (UAP) occasionally associate UAP sightings ・ compasses onboard aircraft or sudden malf...
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Source: aerialsoutheast.com
Title: ads b aerial photography
Link: https://aerialsoutheast.com/ads-b-aerial-photography/Source snippet
ADS-B and Aerial Photography: What You Need to Know11 Mar 2025 — ADS-B is required for all aircraft operating in controlled airspace wher...
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Source: norma.ncirl.ie
Link: https://norma.ncirl.ie/7557/1/santoshkumarreddylekkala.pdfSource snippet
of Fighter Planes in Aerial Images using YOLO V8by SKR Lekkala · 2025 — The one-shot approach of YOLOv8, processing the entire image at o...
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Source: aerospace.honeywell.com
Title: Aerospace ADS-B Privacy
Link: https://aerospace.honeywell.com/us/en/about-us/news/2020/11/ads-b-privacySource snippet
Honeywell AerospaceADS-B Privacy - What You Need to KnowThe FAA acknowledged the desire for operators to limit the availability of real-t...
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