G06V 20/13

Definition

Diese Klassifikationsstelle umfasst:

(Für diese Definition ist die deutsche Übersetzung noch nicht abgeschlossen)

Recognising patterns corresponding to different image structures (e.g., objects) in remotely sensed satellite images or video, e.g. optical data (images or video), GPS, radar, LIDAR measurement data, or in combination.

Object detection, deriving hyperspectral signatures from objects within satellite images.

Categorisation of man-made objects / image targets within satellite images.

Vegetation detection or monitoring canopy growth within satellite images.

Cloud detection and cloud mask segmentation within satellite images.

3D measurement of man-made objects, such as building roofs, within satellite images.

Change detection, e.g. assessing influence of natural disasters, presence of new objects (anomalies) against a known background within satellite images.

Weather condition monitoring by image or video analysis of satellite images.

Examples

Bildreferenz:G06V0020130000_0



Automatic classification of objects in satellite images

Querverweise

Informative Querverweise

Pattern recognition and image understanding in terrestrial scenes with images taken by planes or drones
G06V 20/17
Recognising three-dimensional [3D] objects in scenes
G06V 20/64
Recognition of technical drawings and geographical maps
G06V 30/422
Navigation
G01C 21/00
Systems using the reflection or reradiation of radio waves, e.g. radar systems;
G01S 13/00
Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
G01S 17/00
Satellite radio beacon positioning systems, e.g. GPS
G01S 19/00
Information retrieval of image data
G06F 16/50
Information retrieval of video data
G06F 16/70
Segmentation for general image processing
G06T 7/10
Motion image analysis
G06T 7/20

Spezielle Klassifizierungsregeln

This group covers techniques specifically adapted for remotely sensed satellite images or video. Recognising patterns in aerial images or video acquired from aircrafts, helicopters, unmanned aerial vehicles (UAVs), balloons, etc., is classified in group G06V 20/17. The difference between these two groups consists how the images are acquired. Image or video techniques classified in group G06V 20/13 lack perspective (depth) information, while in the group group G06V 20/17, images acquired from aircrafts, helicopters, UAVs, etc. contain the perspective (depth) information.

Glossar

hyperspectral image
hyperspectral images

images in which one continuous spectrum is measured for each pixel. Generally, the spectral resolution is given in nanometres or wave numbers.

remote sensing

process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation from a satellite or aircraft.