JPH04244989A - Preparing apparatus for simulated synthetic-aperture radar image - Google Patents

Preparing apparatus for simulated synthetic-aperture radar image

Info

Publication number
JPH04244989A
JPH04244989A JP3032046A JP3204691A JPH04244989A JP H04244989 A JPH04244989 A JP H04244989A JP 3032046 A JP3032046 A JP 3032046A JP 3204691 A JP3204691 A JP 3204691A JP H04244989 A JPH04244989 A JP H04244989A
Authority
JP
Japan
Prior art keywords
dtm
amount
distortion
foreshortening
deflection
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP3032046A
Other languages
Japanese (ja)
Inventor
Ikuko Horie
堀江 郁子
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NEC Corp
Original Assignee
NEC Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by NEC Corp filed Critical NEC Corp
Priority to JP3032046A priority Critical patent/JPH04244989A/en
Publication of JPH04244989A publication Critical patent/JPH04244989A/en
Pending legal-status Critical Current

Links

Abstract

PURPOSE:To reduce a processing time for calculation of foreshortening deflection. CONSTITUTION:The amount of foreshortening deflection in pixels at four corners of DTM is calculated in a deflection amount calculating part 21, a relational formula of the amount of foreshortening deflection at the four corners of DTM/ altitude is prepared in an approximation formula preparing part 22, the amount of deflection given by the four corners of the DTM is calculated in a deflection addition processing part 33 by using altitude values in all pixels of the DTM and the above-mentioned relational formula of the amount of foreshortening deflection at four corners of DTM/altitude, and linear primary interpolation of the above-mentioned amount of foreshortening deflection is executed on the basis of the positions of the pixels.

Description

【発明の詳細な説明】[Detailed description of the invention]

【0001】0001

【産業上の利用分野】本発明は、模擬合成開口レーダ画
像作成装置に関し、特に合成開口レーダ画像(以下「S
AR画像」と称す)に特有な地形起伏に起因する幾何学
的歪(以下「フォアショートニング歪」と称す)の算出
方式に関する。
[Field of Industrial Application] The present invention relates to a simulated synthetic aperture radar image creation device, and more particularly to a synthetic aperture radar image (hereinafter referred to as "S").
The present invention relates to a method for calculating geometric distortion (hereinafter referred to as "foreshortening distortion") due to topographical undulations peculiar to AR images (hereinafter referred to as "foreshortening distortion").

【0002】0002

【従来の技術】SAR画像と地形図を対応させる技術は
、一般にジオコーディングと呼ばれている。ジオコーデ
ィングを実施するには、SAR画像特有のフォアショー
トニング歪を補正した画像を作成する必要がある。
2. Description of the Related Art A technique for correlating SAR images and topographic maps is generally called geocoding. To perform geocoding, it is necessary to create an image in which foreshortening distortion, which is unique to SAR images, is corrected.

【0003】ジオコーディッドSAR画像の作成方法に
は、地形図から作成した矩形の数値地形モデル(以下「
DTM」と称す)を用いる方法がある。即ち、DTMか
らSAR画像特有のフォアショートニング歪を付加した
模擬合成開口レーダ画像(以下「模擬SAR画像と称す
)を作成し、SAR画像と模擬SAR画像から地上基準
点(以下「GCP」と称す)を抽出し、そのGCP情報
を基にSAR画像と模擬SAR画像の対応づけを行う方
法である。模擬SAR画像では、フォアショートニング
歪量が既知であるから、SAR画像からフォアショート
ニング歪を除去することが可能である。
[0003] A method for creating a geocoded SAR image involves a rectangular digital terrain model (hereinafter referred to as "
There is a method using ``DTM''. That is, a simulated synthetic aperture radar image (hereinafter referred to as a "simulated SAR image") to which a foreshortening distortion specific to SAR images is added is created from the DTM, and a ground control point (hereinafter referred to as a "GCP") is created from the SAR image and the simulated SAR image. This is a method of extracting the GCP information and associating the SAR image with the simulated SAR image based on the GCP information. Since the amount of foreshortening distortion is known in the simulated SAR image, it is possible to remove the foreshortening distortion from the SAR image.

【0004】次に、図3を参照してDTMに付加するフ
ォアショートニング歪量の求め方を説明する。図3にお
いて、(λ1,θ1)は衛星Sの直下点Aの(緯度、経
度)、(λ2,θ2)は対象地点Bの(緯度、経度)、
RS は衛星直下点Aにおける地球半径、Rは対象地点
B付近における地球半径、Hは衛星Sの高度、Lは対象
地点Bの標高である。図3は衛星直下点Aと高さLを有
するターゲットの位置Bを三角形の頂点とする球面三角
形を考えた場合、衛星直下点Aと対象地点B間の地心距
離は角度φ1 と同φ2 で示され、その間には所定量
δのフォアショートニング歪が存在することを示してい
る。角度φ1 と同φ2 は次の数式1、同2で与えら
れる。
Next, a method for determining the amount of foreshortening distortion to be added to the DTM will be explained with reference to FIG. In FIG. 3, (λ1, θ1) is the (latitude, longitude) of the point A directly below the satellite S, (λ2, θ2) is the (latitude, longitude) of the target point B,
RS is the radius of the earth at the point A directly below the satellite, R is the radius of the earth near the target point B, H is the altitude of the satellite S, and L is the altitude of the target point B. Figure 3 shows that when considering a spherical triangle with a point A directly below the satellite and a target position B having a height L as the vertices of the triangle, the geocentric distance between the point A directly below the satellite and the target point B is the same as the angle φ1 and φ2. , indicating that a predetermined amount δ of foreshortening distortion exists between them. The angles φ1 and φ2 are given by the following equations 1 and 2.

【0005】[0005]

【数1】[Math 1]

【0006】[0006]

【数2】[Math 2]

【0007】即ち、対象地点Bの緯度・経度(λ2,θ
2)、高さLの情報を抽出するとともに、対象地点Bに
対応する衛星の緯度・経度(λ1,θ1)、地心から衛
星までの距離(H+RS)を求め、それらを上式に代入
すれば、角度φ1 と同φ2 が求まる。すると、歪量
δは次の数式3で求められる。
That is, the latitude and longitude (λ2, θ
2), extract the information on height L, find the latitude and longitude (λ1, θ1) of the satellite corresponding to target point B, and the distance from the earth to the satellite (H + RS), and substitute them into the above equation. , the angles φ1 and φ2 are found. Then, the amount of distortion δ can be obtained using the following equation 3.

【0008】[0008]

【数3】[Math 3]

【0009】従来では、模擬SAR画像の全ピクセルに
対して数式3の計算を行っていた。
Conventionally, calculations using Equation 3 have been performed for all pixels of a simulated SAR image.

【0010】0010

【発明が解決しようとする課題】上述した従来の方法で
は、模擬SAR画像の各ピクセルに対して緯度・経度・
標高と衛星位置・高度を求め、それらの情報を用いて、
数式3のような複雑な数値演算を模擬SAR画像の全ピ
クセルに対して行うため、膨大な処理時間を必要とする
という問題がある。
[Problems to be Solved by the Invention] In the conventional method described above, the latitude, longitude,
Find the altitude, satellite position and altitude, and use that information to
There is a problem in that an enormous amount of processing time is required because complex numerical calculations such as Equation 3 are performed on all pixels of the simulated SAR image.

【0011】本発明の目的は、フォアショートニング歪
量算出のための処理時間を大幅に削減できる模擬合成開
口レーダ画像作成装置を提供することにある。
An object of the present invention is to provide a simulated synthetic aperture radar image creation device that can significantly reduce the processing time for calculating the amount of foreshortening distortion.

【0012】0012

【課題を解決するための手段】前記目的を達成するため
に、本発明の模擬合成開口レーダ画像作成装置は次の如
き構成を有する。即ち、本発明の模擬合成開口レーダ画
像作成装置は、模擬合成開口レーダ画像作成装置におい
て;  矩形の数値地形モデル(以下「DTM」と称す
)を装置内部に取り込むDTM入力部と;  前記DT
Mの4隅のピクセルにおけるフォアショートニング歪量
を算出する歪量算出部と;  前記DTM4隅における
フォアショートニング歪量と標高の関係式を作成する近
似式作成部と;  前記フォアショートニング歪量と標
高の関係式を用いて前記DTMの全ピクセルに対してフ
ォアショートニング歪量を算出する歪付加処理部と; 
 を含むことを特徴とするものである。
Means for Solving the Problems In order to achieve the above object, a simulated synthetic aperture radar image creation device of the present invention has the following configuration. That is, the simulated synthetic aperture radar image creation device of the present invention includes: a DTM input section that imports a rectangular digital terrain model (hereinafter referred to as "DTM") into the device; and the DT.
a distortion amount calculation unit that calculates the amount of foreshortening distortion at the pixels at the four corners of M; an approximate expression creation unit that creates a relational expression between the amount of foreshortening distortion at the four corners of the DTM and the altitude; a distortion addition processing unit that calculates a foreshortening distortion amount for all pixels of the DTM using a relational expression;
It is characterized by including.

【0013】[0013]

【作用】次に、前記の如く構成される本発明の模擬合成
開口レーダ画像作成装置の作用を説明する。本発明では
、DTMの4隅のピクセルにおけるフォアショートニン
グ歪量を算出し、そのDTM4隅のフォアショートニン
グ歪量と標高の関係式を作成する。そして、このDTM
4隅のフォアショートニング歪量/標高の関係式とDT
Mの全ピクセルの標高値とを用いてDTM4隅が与える
歪量を算出し、ピクセル位置から前記フォアショートニ
ング歪量の線形一次補間を行う。
[Operation] Next, the operation of the simulated synthetic aperture radar image creation apparatus of the present invention constructed as described above will be explained. In the present invention, the amount of foreshortening distortion at the pixels at the four corners of the DTM is calculated, and a relational expression between the amount of foreshortening distortion at the four corners of the DTM and the altitude is created. And this DTM
Relational expression of foreshortening distortion/elevation at four corners and DT
The amount of distortion given by the four corners of the DTM is calculated using the elevation values of all pixels of M, and linear linear interpolation of the amount of foreshortening distortion is performed from the pixel position.

【0014】斯くして、本発明によれば、フォアショー
トニング歪量の算出はDTMの4隅のピクセルについて
のみ行うようにしたので、演算処理時間を大幅に削減す
ることができる。
Thus, according to the present invention, the amount of foreshortening distortion is calculated only for the pixels at the four corners of the DTM, so that the calculation processing time can be significantly reduced.

【0015】[0015]

【実施例】以下、本発明の実施例を図面を参照して説明
する。図1は、本発明の一実施例に係る模擬合成開口レ
ーダ画像作成装置を示す。図1において、DTM入力部
1は、DTMデータを取り込み、歪補正前処理部2の歪
量算出部21とデータ変換部3の回転処理部31とに出
力する。歪補正前処理部2はSAR画像に特有なフォア
ショートニング歪の補正準備を行い、データ変換部3は
DTMに擬似的な輝度とフォアショートニング歪とを付
加して模擬SAR画像を作成する。
Embodiments Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 shows a simulated synthetic aperture radar image creation device according to an embodiment of the present invention. In FIG. 1, the DTM input section 1 takes in DTM data and outputs it to the distortion amount calculation section 21 of the distortion correction preprocessing section 2 and the rotation processing section 31 of the data conversion section 3. The distortion correction preprocessing section 2 prepares for correction of foreshortening distortion specific to SAR images, and the data conversion section 3 adds pseudo luminance and foreshortening distortion to the DTM to create a simulated SAR image.

【0016】歪量算出部21はDTMの4隅のピクセル
毎に、任意の標高間隔(例えば1000m毎)でフォア
ショートニング歪量を算出する。フォアショートニング
歪量算出には前記数式3を用いる。
The distortion amount calculation unit 21 calculates the foreshortening distortion amount for each pixel at the four corners of the DTM at arbitrary altitude intervals (for example, every 1000 m). Equation 3 above is used to calculate the amount of foreshortening distortion.

【0017】近似式作成部22では、歪量算出部21か
らの標高とフォアショートニング歪量の情報を基に、4
隅のピクセル毎で、以下に示す二次式(数式4〜数式7
)で標高Lとフォアショートニング歪量δの関係を近似
させ、その係数an 〜cn (n=1〜4)を最小自
乗法を用いて算出する。
The approximation formula creation section 22 calculates 4 based on the information on the altitude and the foreshortening distortion amount from the distortion amount calculation section 21.
For each corner pixel, use the following quadratic formulas (Equations 4 to 7)
) to approximate the relationship between the altitude L and the foreshortening distortion amount δ, and its coefficients an to cn (n=1 to 4) are calculated using the method of least squares.

【0018】[0018]

【数4】[Math 4]

【0019】[0019]

【数5】[Math 5]

【0020】[0020]

【数6】[Math 6]

【0021】[0021]

【数7】[Math 7]

【0022】一方、回転処理部31では、DTMを衛星
からのマイクロ波照射方向と並行になるよう回転させる
。輝度計算処理部32では、回転後のDTMの全ピクセ
ルで標高差を求め、その標高差に応じた擬似輝度値を与
える。そして、歪付加処理部33では、この擬似輝度値
と近似式作成部22で求めた4個の近似式を用いて、所
望の模擬SAR画像を完成する。これを図2を参照して
詳述する。
On the other hand, the rotation processing section 31 rotates the DTM so that it is parallel to the direction of microwave irradiation from the satellite. The brightness calculation processing unit 32 calculates the altitude difference between all pixels of the rotated DTM and provides a pseudo brightness value corresponding to the altitude difference. Then, the distortion addition processing unit 33 uses this pseudo brightness value and the four approximate expressions obtained by the approximation expression generation unit 22 to complete a desired simulated SAR image. This will be explained in detail with reference to FIG.

【0023】まず、数式4〜同7に任意のピクセルPの
標高Li を代入し、Li に対するDTM4隅でのフ
ォアショートニング歪量(δLU、δRU、δLD、δ
RD)を算出する。次に、任意のピクセルPの位置(x
i,yi)のX成分xi を用いて、PU とPD に
おける歪量δU と同δD を次の数式8、同9に示す
線形一次補間により算出する。なお、数式8、同9にお
いて、mはDTMのX方向のピクセル数である。
First, substitute the altitude Li of an arbitrary pixel P into Equations 4 to 7, and calculate the foreshortening distortion amount (δLU, δRU, δLD, δ
RD) is calculated. Next, the position of any pixel P (x
Using the X component xi of i, yi), the distortion amounts δU and δD in PU and PD are calculated by linear interpolation shown in Equations 8 and 9 below. Note that in Equations 8 and 9, m is the number of pixels in the X direction of the DTM.

【0024】[0024]

【数8】[Math. 8]

【0025】[0025]

【数9】[Math. 9]

【0026】次に、数式8、同9で算出した歪量δU 
とδD を、DTMのY成分yi を用いて次の数式1
0に示す線形一次補間を行い、Pにおける歪量δP を
算出する。なお、数式10において、nはDTMのY方
向ピクセル数である。
Next, the amount of distortion δU calculated using Equations 8 and 9
and δD, using the Y component yi of DTM, the following formula 1
0 is performed to calculate the distortion amount δP at P. Note that in Equation 10, n is the number of pixels in the Y direction of the DTM.

【0027】[0027]

【数10】[Math. 10]

【0028】そして、この歪量δP を基に輝度計算処
理部32で算出した輝度値を移動させて、フォアショー
トニング歪を含んだ模擬SAR画像が完成するのである
。 この完成した模擬SAR画像は、画像出力部4からCR
T等の出力機器へ出力される。
Then, by moving the brightness value calculated by the brightness calculation processing section 32 based on this distortion amount δP, a simulated SAR image containing foreshortening distortion is completed. This completed simulated SAR image is sent to the CR from the image output unit 4.
It is output to an output device such as T.

【0029】[0029]

【発明の効果】以上説明したように、本発明の模擬合成
開口レーダ画像作成装置によれば、フォアショートニン
グ歪量の算出はDTMの4隅のピクセルについてのみ行
うようにしたので、演算処理時間を大幅に削減できる効
果がある。
As explained above, according to the simulated synthetic aperture radar image creation device of the present invention, the amount of foreshortening distortion is calculated only for the pixels at the four corners of the DTM, so the calculation processing time is reduced. This has the effect of significantly reducing the amount.

【図面の簡単な説明】[Brief explanation of the drawing]

【図1】本発明の一実施例に係る模擬合成開口レーダ画
像作成装置の構成ブロック図である。
FIG. 1 is a configuration block diagram of a simulated synthetic aperture radar image creation device according to an embodiment of the present invention.

【図2】本発明によるフォアショートニング歪補正手順
の説明図である。
FIG. 2 is an explanatory diagram of a foreshortening distortion correction procedure according to the present invention.

【図3】フォアショートニング歪量算出の説明図である
FIG. 3 is an explanatory diagram of foreshortening distortion amount calculation.

【符号の説明】[Explanation of symbols]

1  DTM入力部 2  歪補正前処理部 3  データ変換部 4  画像出力部 21  歪量算出部 22  近似式作成部 31  回転処理部 32  輝度計算処理部 33  歪付加処理部 1 DTM input section 2 Distortion correction preprocessing section 3 Data conversion section 4 Image output section 21 Distortion amount calculation section 22 Approximate formula creation section 31 Rotation processing section 32 Brightness calculation processing unit 33 Distortion addition processing section

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】  模擬合成開口レーダ画像作成装置にお
いて;  矩形の数値地形モデル(以下「DTM」と称
す)を装置内部に取り込むDTM入力部と;  前記D
TMの4隅のピクセルにおけるフォアショートニング歪
量を算出する歪量算出部と;  前記DTM4隅におけ
るフォアショートニング歪量と標高の関係式を作成する
近似式作成部と;  前記フォアショートニング歪量と
標高の関係式を用いて前記DTMの全ピクセルに対して
フォアショートニング歪量を算出する歪付加処理部と;
  を含むことを特徴とする模擬合成開口レーダ画像作
成装置。
[Claim 1] A simulated synthetic aperture radar image creation device comprising; a DTM input section that imports a rectangular digital terrain model (hereinafter referred to as "DTM") into the device;
a distortion amount calculation unit that calculates the amount of foreshortening distortion at the pixels at the four corners of the TM; an approximate expression creation unit that creates a relational expression between the amount of foreshortening distortion at the four corners of the DTM and the altitude; a distortion addition processing unit that calculates a foreshortening distortion amount for all pixels of the DTM using a relational expression;
A simulated synthetic aperture radar image creation device comprising:
JP3032046A 1991-01-31 1991-01-31 Preparing apparatus for simulated synthetic-aperture radar image Pending JPH04244989A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP3032046A JPH04244989A (en) 1991-01-31 1991-01-31 Preparing apparatus for simulated synthetic-aperture radar image

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP3032046A JPH04244989A (en) 1991-01-31 1991-01-31 Preparing apparatus for simulated synthetic-aperture radar image

Publications (1)

Publication Number Publication Date
JPH04244989A true JPH04244989A (en) 1992-09-01

Family

ID=12347924

Family Applications (1)

Application Number Title Priority Date Filing Date
JP3032046A Pending JPH04244989A (en) 1991-01-31 1991-01-31 Preparing apparatus for simulated synthetic-aperture radar image

Country Status (1)

Country Link
JP (1) JPH04244989A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007248216A (en) * 2006-03-15 2007-09-27 Mitsubishi Electric Corp Ortho-correction apparatus and method for synthetic aperture radar image
US7567198B2 (en) * 2006-04-25 2009-07-28 The Boeing Company Subaperture 3D imaging

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007248216A (en) * 2006-03-15 2007-09-27 Mitsubishi Electric Corp Ortho-correction apparatus and method for synthetic aperture radar image
JP4702122B2 (en) * 2006-03-15 2011-06-15 三菱電機株式会社 Orthorectifier for synthetic aperture radar images
US7567198B2 (en) * 2006-04-25 2009-07-28 The Boeing Company Subaperture 3D imaging

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