A method for detecting cloud height in high-resolution remote sensing images
A remote sensing image, high-resolution technology, applied in the system field, can solve problems such as unsuccessful application, and achieve the effect of improving accuracy
Inactive Publication Date: 2017-07-11
ZHEJIANG UNIV
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[0003] The specific idea of using stereo vision to detect cloud height was proposed by scholars in the 1980s, but due to the limitation of the ability of satellites to acquire and process stereo vision data at that time, this method was not successfully applied
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[0019] Now in conjunction with embodiment and accompanying drawing, concrete steps of the present invention are further described:
[0020] First, the mathematical model will be described. For high-resolution satellites, the field of view is usually small, as shown in Figure 3(a), so the satellite’s object-space imaging light can be regarded as parallel light, and the imaging ground can be regarded as a plane; at the same time, the interval between two imaging Very short, cloud movement is negligible. figure 2 It is a schematic diagram of the projection of a point on the cloud to the ground along the two imaging optical axes. Let the vertical projection point of the cloud to the ground be the coordinate origin, the right direction is the positive direction, and the angle between the optical axis and the ground is defined as the angle with the negative direction; where h is the cloud height, α 1 、α 2 is the angle between the optical axis and the ground, δ 1 ,δ 2 is the de...
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The invention proposes a method for detecting the cloud height of the high-resolution remote sensing image, and the cloud height can be detected by inputting two remote sensing images of the same target with different angles. First, the input image is divided into three parts: ground, cloud, and cloud and ground; then, the ground and cloud matching results are calculated using the SIFT matching algorithm, and the RANSAC algorithm is used to eliminate ground mismatch points, and the coordinates of the ground points of the two images are obtained Transformation relation; Utilize the transformation relation of ground point, the present invention has provided a kind of method that utilizes circulation to eliminate cloud mis-match point, can accurately obtain the projection deviation of cloud to ground; Finally, according to projection deviation and known two pictures From the imaging angle, the height of the cloud can be obtained by using a mathematical model. The invention effectively solves the problem of decreased matching accuracy caused by the rotation, affine and other transformations of the same cloud in images of different angles caused by the attitude of the satellite, and improves the accuracy of cloud height detection.
Description
technical field [0001] The invention relates to the technical fields of remote sensing image processing, stereo vision, feature matching, etc., and can be applied to systems such as multi-angle satellite imaging cloud height detection and satellite imaging capability prediction for specific targets. Background technique [0002] As an important part of satellite remote sensing images, cloud processing has always been the focus of remote sensing image processing. Cloud height information is one of the many remarkable properties of clouds. On the one hand, it can be used for short-term weather prediction as well as long-term climate research. On the other hand, clouds often block ground targets and affect the ability of satellites to observe ground targets. Through the detection of cloud height information, it is possible to quickly judge whether the satellite can observe a specific target, so that the satellite can work more efficiently and obtain effective information quic...
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IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/20
Inventor 陈跃庭孔祥海徐之海李奇冯华君
Owner ZHEJIANG UNIV