Flight device and flight control method
US-2017293796-A1 · Oct 12, 2017 · US
US10331972B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10331972-B2 |
| Application number | US-201615008632-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 28, 2016 |
| Priority date | Jan 28, 2015 |
| Publication date | Jun 25, 2019 |
| Grant date | Jun 25, 2019 |
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A technique for making multiple still images, which are photographed by a traveling mobile body, and the traveled route of the photographing correspond to each other, is obtained. A survey data processing device includes an input unit 101, an image processing unit 102, and a synchronous processing unit 103. The input unit 101 is configured to receive image data of multiple still images, which are photographed from a mobile body flying, and receive flight data, in which a flight route of the mobile body is measured. The image processing unit 102 is configured to estimate a flight route of the mobile body based on changes in positions of feature points included in the multiple still images on a screen. The synchronous processing unit 103 is configured to specify a matching relationship between the flight route of the flight data and the estimated flight route.
Opening claim text (preview).
What is claimed is: 1. A survey data processing device comprising: circuitry configured to: receive flight data including a first flight route of a mobile body in flight that is measured by a satellite-based navigation system; receive image data of multiple still images that are photographed from the mobile body in flight, wherein the multiple still images include a first still image that is photographed at a first time and a second still image that is photographed at a second time that is temporally consecutive and proximate to the first time; calculate an image matching relationship between the first still image and the second still image based on a cross-correlation function by: (i) determining a template image of N 1 ×N 1 pixels from one of the first still image and the second still image; (ii) overlaying the template image on a search range (M 1 −N 1 +1) 2 within an other one of the first still image and the second still image of M 1 ×M 1 pixels, which is larger than the template image; and (iii) determining a position of the template image where a value of the cross-correlation function corresponds to a maximum correlation degree; identify a first feature point from the first still image and a second feature point from the second still image based on the matching relationship, wherein the first feature point and the second feature point correspond to a same geographic feature point that is captured by the first still image and the second still image; estimate a second flight route of the mobile body based on a moving-direction vector connecting a first position of the first feature point on a screen and a second position of the second feature point on the screen; and specify a flight route matching relationship regarding position and time between the first flight route acid the second flight route by matching the second flight route onto the first flight route, and wherein the cross-correlation function is calculated based on: C ( a , b ) = ∑ m 1 = 0 N 1 - 1 ∑ n 1 = 0 N 1 - 1 { I ( a , b ) ( m 1 , n 1 ) - 1 } { T ( m 1 , n 1 ) - T } I σ ab T σ Here , I _ = 1 N 1 2 ∑ m 1 = 0 N 1 - 1 ∑ n 1 = 0 N 1 - 1 I ( a , b
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