Marketplace

Truck Detection

Detects trucks on 1232x1232 GeoTIFF Pleiades images

Description

Orbital Insight's truck detection algorithm uses wide area object detection in Pleiades imagery to accurately identify and quantify trucks. This saves analysts significant amounts of time in conducting pattern of life analyses and activity based intelligence.

Technical Description

Orbital Insight's Truck Detector operates on high resolution imagery from Pléiades Streaming (One Atlas) with Raster Tiling (UP42) and produces point detections corresponding to the location of trucks within a specified input image (GeoTIFF).

Use Cases

Counting trucks across a wide area at scale allows geospatial analysts to monitor activity-based intelligence, observing emerging trends including baseline and anomalous economic and geopolitical activity levels.

Note: This block can be used with Pléiades Streaming (OneAtlas) and Raster Tiling (UP42), Pléiades Download (OneAtlas) with Pan-Sharpening (UP42) is currently not supported.

General InformationDescription
Block TypeProcessing for Pléiades Truck Detection
Supported input dataPléiades Tile (1232x1232px)
Output data formatGeoJSON
PerformanceAlgorithm qualified on a large set of data encompassing different types of landscapes worldwide by a third party, with a good level of performances. The algorithm performance will vary according to geography and imagery features.
Training Data DetailsThis algorithm was tested by a 3rd party using a validation set, consisting of approximately 5,000 marked trucks in 50 countries spanning 6 continents. The training set contains 50,000 images and spans many variable conditions including time of day, time of year, terrain, configuration of vehicles, etc.

Capabilities

Input Capabilities

raster
up42_standard
bands
[
  "red",
  "green",
  "blue"
]
dtype
uint8
format
GTiff
sensor
Pleiades
tile_width
1232
tile_height
1232
processing_level
l2

Output Capabilities

vector
custom
object_type
trucks
up42_standard
format
GeoJSON
geometry_type
Point

End User License Agreement

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