Method for optimizing flight speed of remotely-sensed scan imaging platform

Abstract

A method for optimizing a flight speed of a remotely-sensed scan imaging platform. The method comprises: selecting a reference point; obtaining a remotely-sensed scan image in a reference point region, and processing data; and optimizing a flight speed of a remotely-sensed scan platform. By optimizing a movement speed of a remotely-sensed movement platform, the method can prevent a geometric dimension of a target in a remotely-sensed scan image from being distorted, so as to obtain a high-precision remotely-sensed image of a ground target; and the method can be used for airborne and satellite borne remotely-sensed images.

Claims

1. A method for optimizing flight speed of a remotely-sensed scan imaging platform, the method comprising: carrying the remotely-sensed scan imaging platform on at least one of an airborne vehicle and a satellite-borne vehicle, whereby the remotely-sensed scan imaging platform is positioned over a ground surface; selecting reference points on the ground surface by: selecting point A and point B on the ground surface as reference points, wherein a distance between point A and point B is L.sub.AB km; selecting the central point of a connecting line of point A and point B as a reference point C; and selecting point D as another reference point to make a connecting line CD of point D and point C perpendicular to the connecting line AB of point A and point B, and a distance between point D and point C be L.sub.CD km; obtaining, with an image sensor of the remotely-sensed scan imaging platform, a remotely-sensed scan image in a reference point region, and processing data; optimizing a flight speed of the remotely-sensed scan imaging platform.

2. The method for optimizing flight speed of a remotely-sensed scan imaging platform according to claim 1, wherein obtaining a remotely-sensed scan image in a reference point region, and processing data further includes: using a remotely-sensed scan platform to carry a remote sensing camera to obtain the remotely-sensed images A′, B′, C′ and D′ of reference points A, B, C and D at a movement speed V; and calculating the distance between A′ and B′ in the remotely-sensed images as L.sub.A′B′ pixels, and the distance between C′ and D′ as L.sub.C′D′ pixels.

3. The method for optimizing flight speed of a remotely-sensed scan imaging platform according to claim 1, wherein optimizing the flight speed of the remotely-sensed scan imaging platform further includes calculating an optimized movement speed V′ of the remotely-sensed scan imaging platform by using a movement speed V of the remotely-sensed scan imaging platform, distance L.sub.A′B′ between A′ and B′ in the remotely-sensed scan image, distance L.sub.C′D′ between C′ and D′, distance L.sub.AB between point A and point B and distance L.sub.CD between point D and point C according to a formula of $V^{\prime }=V.Math.\frac{L_{\mathrm{AB}}.Math.L_{C^{\prime }{D}^{\prime }}}{L_{\mathrm{CD}}.Math.L_{A^{\prime }{B}^{\prime }}}.$

Description

BRIEF DESCRIPTION OF THE DRAWINGS

(1) FIG. 1 is a flow diagram of the present invention;

(2) FIG. 2 is a schematic diagram of reference points A, B, C and D;

(3) FIG. 3 is a schematic diagram of points A′, B′, C′ and D′ corresponding to reference points A, B, C and D in the remotely-sensed images;

DETAILED DESCRIPTION OF THE EMBODIMENTS

(4) Below the present invention will be described in details with reference to the accompanying drawings and specific embodiments, but these embodiments are not intended to limit the present invention. The structural, methodological or functional modifications made by those skilled in the art according to these embodiments fall within the scope of protection of the present invention.

(5) As shown in FIG. 1, the method for optimizing flight speed of a remotely-sensed scan imaging platform includes the following steps:

(6) Step 1: Selecting reference points;

(7) Step 2: Obtaining a remotely-sensed scan image in a reference point region, and processing data;

(8) Step 3: Optimizing the flight speed of the remotely-sensed scan imaging platform;

(9) As shown in FIG. 2, “Step 1: Selecting reference points” is characterized by: selecting point A and point B on the ground as reference points, wherein the distance between point A and point B is L.sub.AB=100 km; selecting the central point of the connecting line of point A and point B as a reference point C; selecting point D as another reference point to make the connecting line CD of point D and point C perpendicular to the connecting line AB of point A and point B, and the distance between point D and point C be L.sub.CD=10000 km

(10) As shown in FIG. 3, “Step 2: Obtaining a remotely-sensed scan image in a reference point region, and processing data” is characterized by: using a remotely-sensed scan platform to carry a remote sensing camera to obtain the remotely-sensed images A′, B′, C′ and D′ of reference points A, B, C and D at a movement speed V=120 KM/H; and calculating the distance between A′ and B′ in the remotely-sensed images as L.sub.A′B′=1200 pixels, and the distance between C′ and D′ as L.sub.C′D′=114000 pixels.

(11) “Step 3: Optimizing the flight speed of the remotely-sensed scan imaging platform” is characterized by: calculating the optimized movement speed V′ of the remotely-sensed scan platform by using the movement speed V=120 KM/H, L.sub.A′B′=1,200 pixels, L.sub.C′D′=114,000 pixels, L.sub.AB=100 KM, L.sub.CD=10,000 KM according to the formula of

(12) $V^{\prime }=V.Math.\frac{L_{\mathrm{AB}}.Math.L_{C^{\prime }{D}^{\prime }}}{L_{\mathrm{CD}}.Math.L_{A^{\prime }{B}^{\prime }}}=114\mathrm{KM}\text{/}H.$