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Image Orthorectification using Erdas Imagine Prepared By: Chen Shi Date: November, 2014 Organisation: Center of Geographic Science Overview of the Project Discussion of Reference Data Discussion of Methodology Discussion of Quality The goal of this project is to use an existing orthorectified image & digital elevation models to rectify an image scene of Annapolis Royal, Nova Scotia using the Polynomial Model within Erdas Imagine. Digital air photo #3292 was chosen for this analysis (as you can see in the left corner of the picture on the left). Through this whole project, two major deliveables will be created and they are following: 1. Image3292 convention file; 2. GCP3292 convention file. ± Reference data: annapolis_north_2012_25cm_colour_subset.ecw The projection used for this reference data is UTM_Zone20_North. Spheroid is GRS 1980. The scale factor at central meridian is 0.999600. Longitude of central meridian is 63:00:00:000000 W, latitude of origin of projection is 0:00:00:000000 N. False Easting is 500000 meters and False Northing is 0.000000 meters. Anna_1m_gnd.img (the digital elevation model file) is also added as a reference layer to improve the accuracy of the image orthorectification. Image 3292 (input source) can be converted to real-world ground coorrdinates by referencing the image to annapolis_north_2012_colour_subset.ecw (reference source). In order to accomplish this task, ground control points (GCPs) need to be selected from both the input source and the reference source, Such process is called georeferenc. The model used for this project is Polynomial in Raster/Multispectral/Transform and Orthorectification. A geographic coordiante system is used to assign geographic locations to objects. In this project, the reference dataset (annapolis_north_2012_25cm_colour_subset.ecw) already has its own projection and relevant coordinate system (Easting and Northing). Therefore, the georeference process invloves assigning image 3292 data to the reference map coordinates. In the multipoint Geometric Correction window, 20 control points are slected to guarantee approximately one point in every imaginaey 100m grid square. 5 check points in Image 3292 were placed well spread out and check if all the values in the error column is less than 1. Save the input layer and reference layer once the check points are done and qualified. Click the Resample icon on the main toolbar to open the resample window. After the new 3292_utm.img file is created, the user can start to verify the rectification process by turn on Pixel Transparency under MultiSpectral/View. Also, image can be ehnaced by Discretre DRA. Georeference Model: Coordinate System: Resampling Technique: ± Problems Encountered: RMS & Residual Results: Visual Assessment of the Rectified Image3292 The overall process of this project went pretty well. However, I had a hard time in finding the relative locations from the input image to the reference map. The solution is quite simple by just rotate the imgae to 90 degrees clockwise. But this step is quite easy to be ignored if you are doing the orthorectification for the first time. 20 control points were selected in both the input image and reference dataset. Also, 5 additional check points were created to make sure that the total error is less than 1, which is a resonable result. According to the results of image 3292 check points, the max error value is 0.750 and the lowest value is -0.141. The overall Image3292_utm.tiff result is quite satisfied. However, one misalignment has been identified through using the swipe tool in Edras. As shown in the pictures above, the edges of the lake are slightly mismatched. The Red circle in the pictures above are the control points selected for this orthorectification. The reasons for such misalignment could be a lot. Obviously, the input and reference images were taken in different time and therefore the water capacity for this two areas could be different. Picture on right looks like a drought season compare to the one on the left. ± Misalignment 0 0.5 1 1.5 Miles ± 0 0.5 1 1.5 Miles Pic1: Location of Image 3292 Pic2: Reference Dataset: Annapolis_north_2012_25cm_colour Pic 3: Multipoint Geometric Correction Dialogue Pic 4: Image3292 before Rotation Pic 5: Image3292 after Rotation Pic 6: Misalignment of the image References: ERDAS Workbook 2; ERDAS Help Projection: UTM_Zone20_North, GRS1980. Disclamier: This is the student product and any changes made should be notified before.

Image Orthorectification using Erdas Imagine · Erdas Imagine. Digital air photo #3292 was chosen for this analysis (as you can see in the left corner of the picture on the left)

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Page 1: Image Orthorectification using Erdas Imagine · Erdas Imagine. Digital air photo #3292 was chosen for this analysis (as you can see in the left corner of the picture on the left)

Image Orthorectification using Erdas ImaginePrepared By: Chen ShiDate: November, 2014Organisation: Center of Geographic Science

Overview of the Project

Discussion of Reference Data

Discussion of Methodology Discussion of QualityThe goal of this project is touse an existing orthorectifiedimage & digital elevationmodels to rectify an imagescene of Annapolis Royal,Nova Scotia using thePolynomial Model withinErdas Imagine.Digital air photo #3292 waschosen for this analysis (asyou can see in the left cornerof the picture on the left).Through this whole project,two major deliveables will becreated and they arefollowing: 1. Image3292convention file; 2. GCP3292convention file.

±

Reference data: annapolis_north_2012_25cm_colour_subset.ecwThe projection used for thisreference data isUTM_Zone20_North. Spheroidis GRS 1980.The scale factor at centralmeridian is 0.999600. Longitudeof central meridian is63:00:00:000000 W, latitude oforigin of projection is0:00:00:000000 N. FalseEasting is 500000 meters andFalse Northing is 0.000000meters.Anna_1m_gnd.img (the digitalelevation model file) is alsoadded as a reference layer toimprove the accuracy of theimage orthorectification.

Image 3292 (input source) can be converted to real-world groundcoorrdinates by referencing the image toannapolis_north_2012_colour_subset.ecw (reference source).In order to accomplish this task, ground control points (GCPs) needto be selected from both the input source and the reference source,Such process is called georeferenc. The model used for this projectis Polynomial in Raster/Multispectral/Transform andOrthorectification.

A geographic coordiante system is used to assign geographiclocations to objects. In this project, the reference dataset(annapolis_north_2012_25cm_colour_subset.ecw) already has itsown projection and relevant coordinate system (Easting andNorthing). Therefore, the georeference process invloves assigningimage 3292 data to the reference map coordinates.

In the multipoint Geometric Correction window, 20 control points areslected to guarantee approximately one point in every imaginaey 100mgrid square. 5 check points in Image 3292 were placed well spread outand check if all the values in the error column is less than 1. Save theinput layer and reference layer once the check points are done andqualified.Click the Resample icon on the main toolbar to open the resamplewindow. After the new 3292_utm.img file is created, the user can start toverify the rectification process by turn on Pixel Transparency underMultiSpectral/View. Also, image can be ehnaced by Discretre DRA.

Georeference Model:

Coordinate System:

Resampling Technique:

±

Problems Encountered:

RMS & Residual Results:

Visual Assessment of the Rectified Image3292

The overall process of this project went pretty well. However, I had ahard time in finding the relative locations from the input image to thereference map. The solution is quite simple by just rotate the imgaeto 90 degrees clockwise. But this step is quite easy to be ignored ifyou are doing the orthorectification for the first time.

20 control points were selected in both the input image andreference dataset. Also, 5 additional check points were created tomake sure that the total error is less than 1, which is a resonableresult. According to the results of image 3292 check points, themax error value is 0.750 and the lowest value is -0.141.

The overall Image3292_utm.tiff result is quite satisfied. However, onemisalignment has been identified through using the swipe tool in Edras.As shown in the pictures above, the edges of the lake are slightlymismatched. The Red circle in the pictures above are the control pointsselected for this orthorectification. The reasons for such misalignmentcould be a lot. Obviously, the input and reference images were taken indifferent time and therefore the water capacity for this two areas could bedifferent. Picture on right looks like a drought season compare to the oneon the left.

±

Misalignment0 0.5 1 1.5 Miles

±

0 0.5 1 1.5 Miles

Pic1: Location of Image 3292

Pic2: Reference Dataset: Annapolis_north_2012_25cm_colour

Pic 3: Multipoint Geometric Correction Dialogue

Pic 4: Image3292 before RotationPic 5: Image3292 after Rotation

Pic 6: Misalignment of the image

References: ERDAS Workbook 2; ERDAS Help Projection: UTM_Zone20_North, GRS1980.Disclamier: This is the student product and any changes made should be notified before.