Plotting Right Ascension & Declination on Mercator Map
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I'm developing a program to do many different satellite orbit calculations. One of them involves plotting the ground tracks of a given satellite on a mercator (lat & long) map. I have the Right Ascension and Declination angles in a vector called "rad" in the following code. With Right Ascension in the first column, and declination in the second column. The plot is coming out okay, except that it is connecting the groundtrack line when the right ascension (width) resets from 360 to 0. I can't quite figure out how to plot the data without connecting the line when the right ascension resets to 0 degrees from 360.
rad(:,1) ranges from 0 to 360 (right ascension) rad(:,2) ranges from -90 to 90 (declination)
earth = imread('ImageOfEARTH');
hold on
F = earth(end:-1:1,:,:);
image([0 360],[-90 90],F)
plot(rad(:,1),rad(:,2),'red');
axis([0,360,-90,90])
daspect([1 1 1]);
This code outputs the following plot:
See how that line is connected through the middle? I need to eliminate that.
Thanks!
-Brandon
採用された回答
Star Strider
2015 年 11 月 30 日
0 投票
I don’t have ‘ImageOfEARTH’ so I can’t run your code. However, one way to deal with the ‘wrap-around’ problem is to add NaN at the end of each of your vectors. Those will ‘break’ the continuity of your plot, since NaN does not plot, and your line plot should no longer wrap.
5 件のコメント
Brandon Johnson
2015 年 11 月 30 日
Brandon Johnson
2015 年 11 月 30 日
Star Strider
2015 年 11 月 30 日
Assuming all your ‘rad’ data are similar in their construction for all your satellites (that is, the wrap-around occurs in the interior and not at the end of the matrix), this works:
[~,nan_ins] = min(rad(:,1)); % Index Of Mimimum ‘rad(:,1)’
rad_nan = rad(1:nan_ins,:); % Create First Section Of ‘rad_nan’
rad_nan(nan_ins+1,:) = [NaN NaN]; % Insert ‘NaN’ Row
rad_nan = [rad_nan; rad(nan_ins+1:end,:)]; % Append Remaining Rows Of ‘rad’ To ‘rad_nan’
although it looks a bit kludgy.
Remember to plot:
plot(rad_nan(:,1),rad_nan(:,2),'red');
instead of ‘rad’.
Brandon Johnson
2015 年 11 月 30 日
Beautiful, now I get this plot. But the problem is that now if I try to plot multiple periods of the satellite (multiple times around) I will have many discontinuities of this type. Is there a way to modify that code to handle multiple discontinuities?
Star Strider
2015 年 11 月 30 日
First, thanks for the earth map link. The image is now in one of my MATLAB directories.
Second, it depends on how your data are stored and the lengths of the individual (Rx2) matrices for each satellite revolution. If there are N of them and if they are all the same lengths (that is 100 rows each so R=100), then you can use the reshape function to convert the long (R*Nx2) matrix into N (Rx2) matrices in the same matrix (so it would be (Rx2*N)), and then use the same code to insert a (2*N) row of NaN values in it.
Otherwise, you will have to test for the wrap-around (minimum) for each two-column section in your (Rx2) matrix. If the minima vary but are all <2, then use the find function to test for rad(:,1)<2, or whatever test is appropriate. You would likely have to use a loop to use my code with each section of the matrix. So if possible, make them all R rows long, use reshape, and avoid the complexity.
Third, if all the (Rx2) matrix segments ‘break’ at the same row, you can simplify my code a bit by using the circshift function to rotate your RxN*2 reshaped matrix so that all the vectors in your RxN*2 reshaped matrix begin at the same row. Then you simply add a 2*N row of NaN values to the end of the matrix and be done with it. That’s the easiest way. (I thought about doing it with your matrix here.) You would then use reshape again to create one long (N*(R+N)x2) matrix, now including the added NaN rows.
Also, the satellite track has to begin somewhere and the calculation end somewhere else, so some discontinuity is inevitable (unless it ends exactly over its launch site).
その他の回答 (1 件)
Chad Greene
2015 年 11 月 30 日
As Star Strider mentioned, you can add a NaN where it wraps around. A faster and possibly less visually appealing way is to plot red dots instead of a red line:
plot(rad(:,1),rad(:,2),'r.');
A note unrelated to your question: Your map isn't actually a Mercator map. It's simply unprojected geographic coordinates where you've given all degrees longitude and latitude equal size. Mercator projections make Greenland appear larger than Africa.
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