COMPARISON OF GEOMETRIC CORRECTION SCHEMES FOR GEOSTATIONARY OCEAN COLOR IMAGER SLOTS WITHOUT GCPS

Abstract. Currently, the geometric correction process of GOCI (Geostationary Ocean Color Imager) image is performed by matching slot images against shorelines and utilizing the matching results as GCPs (Ground Control Point). However, there are several GOCI slots without shorelines and for such slots acquiring GCPs is not easy. The purpose of this paper is to compare several alternative geometric correction schemes applicable to the slots without GCPs. We analyzed three schemes. The first scheme is to apply the correction angle of the same slot in the most recent dataset. The second scheme is to apply correction angle of the previous slot in the current dataset. And the last scheme is to apply correction angle of the slot with the largest number of GCPs in the same time dataset. Overall process for comparing the quality of the three geometric correction schemes consisted of the following steps. Firstly, using ephemeris metadata of GOCI Level 1A, we established initial sensor model, which defines geometry relationship between ground coordinate system and image coordinate system of a GOCI image. And then, by matching edge detected from GOCI slot images and shoreline landmark chips, we obtained GCPs. Using these GCPs, we calculated correction angle of each slot. After then, through the three schemes, we conducted precision sensor modeling. Among three schemes, geometric correction applying the previous slot correction angle showed the best quality. The average RMSE of this scheme was about 1.4km, which was quite close to geometric correction quality applying correction angles from GCPs.

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Geometric Correction for the Geostationary Ocean Color Imager from a Combination of Shoreline Matching and Frequency Matching

Sensors ◽

10.3390/s18113599 ◽

2018 ◽

Vol 18 (11) ◽

pp. 3599 ◽

Cited By ~ 1

Author(s):

Han-Gyeol Kim ◽

Jong-Hwan Son ◽

Taejung Kim

Keyword(s):

Ocean Color ◽

Correction Method ◽

Relative Orientation ◽

Geometric Distortion ◽

Geometric Correction ◽

Frequency Matching ◽

Sensor Model ◽

Color Sensors ◽

Similar Accuracy ◽

Sensor Modeling

Geometric correction is fundamental in producing high quality satellite data products. However, the geometric correction for ocean color sensors, e.g., Geostationary Ocean Color Imager (GOCI), is challenging because the traditional method based on ground control points (GCPs) cannot be applied when the shoreline is absent. In this study, we develop a hybrid geometric correction method, which applies shoreline matching and frequency matching on slots with shorelines and without shorelines, respectively. Frequency matching has been proposed to estimate the relative orientation between GOCI slots without a shoreline. In this paper, we extend our earlier research for absolute orientation and geometric correction by combining frequency matching results with shoreline matching ones. The proposed method consists of four parts: Initial sensor modeling of slots without shorelines, precise sensor modeling through shoreline matching, relative orientation modeling by frequency matching, and generation of geometric correction results using a combination of the two matching procedures. Initial sensor modeling uses the sensor model equation for GOCI and metadata in order to remove geometric distortion due to the Earth’s rotation and curvature in the slots without shorelines. Precise sensor modeling is performed with shoreline matching and random sample consensus (RANSAC) in the slots with shorelines. Frequency matching computes position shifts for slots without shorelines with respect to the precisely corrected slots with shorelines. GOCI Level 1B scenes are generated by combining the results from shoreline matching and frequency matching. We analyzed the accuracy of shoreline matching alone against that of the combination of shoreline matching and frequency matching. Both methods yielded a similar accuracy of 1.2 km, which supports the idea that frequency matching can replace traditional shoreline matching for slots without visible shorelines.

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An Optimization Method on Ground Control Point Distribution

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.268-270.1092 ◽

2011 ◽

Vol 268-270 ◽

pp. 1092-1095

Author(s):

Guang Yang ◽

Wei Li Jiao

Keyword(s):

Remote Sensing ◽

Control Point ◽

Optimization Method ◽

Ground Control ◽

Geometric Correction ◽

Importance Value ◽

Point Distribution ◽

Ground Control Point ◽

Thiessen Polygon ◽

Automatic Optimization

With the development of remote sensing, the data quantity of remote sensing image is increasing tremendously. It brings a huge workload to the image geometric correction through manual ground control point (GCP) selection. GCPs automatically selected based on software is one of the effective methods to cut down manual operation. The GCPs obtained from that way is generally redundant. This paper deeply comprehends some existing methods about automatic optimization of GCP, and puts forward a new method of automatic optimization of GCP based on Thiessen Polygon to filter ground control points from the overfull ones without manual subjectivity for better accuracy. Experiments in this paper also demonstrated the relationship between the accuracy of geometric correction and the distribution of GCP. It advances the conception of single GCP’s importance value based on Thiessen Polygon. The paper gives the theory and the flow of automatic optimization of GCPs as well. It also presents an example of the application of this method. In the conclusion, this paper points out the advantages of this method .

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Optimization of Ground Control Point (GCP) and Independent Control Point (ICP) on Orthorectification of High Resolution Satellite Imagery

E3S Web of Conferences ◽

10.1051/e3sconf/20199402008 ◽

2019 ◽

Vol 94 ◽

pp. 02008

Author(s):

Teguh Hariyanto ◽

Akbar Kurniawan ◽

Cherie Bhekti Pribadi ◽

Rizal Al Amin

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Survey Methods ◽

Control Point ◽

Satellite Image ◽

Geometric Distortion ◽

Ground Control ◽

Geometric Correction ◽

Space Utilization ◽

Ground Control Point

In the rapidly evolving technology era, various survey methods have been widely used one of them by remote sensing using satellite. It is known that the satellite image recording process is covered by rides (satellites) moving over the Earth's surface at hundreds of kilometers, causing satellite imagery to have geometric distortion. To reduce the effect of geometric distortion of objects on the image, geometric correction by orthorectification is done. Pleiades is a satellite of high resolution satellite image producer made by Airbus Defense & Space company. The resulting satellite imagery has a 0.5 meter spatial resolution. As a reference for the more detailed space utilization activities of space utilization arranged in the Regional Spatial Plans, Detailed Spatial Plans was created with the 1: 5000 scale map which has been governed by the Geospatial Information Agency. In the process of orthorectifying satellite imagery for this 1: 5000 scale map, ground control or Ground Control Point (GCP) is used for geometric correction and Digital Elevation Model (DEM) data. In this research, the optimal number of GCP usage for orthorectification process in Rational Function method is 21 GCP using 2nd order polynomial

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Multistrip Bundle Block Adjustment of ZY-3 Satellite Imagery by Rigorous Sensor Model Without Ground Control Point

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2014.2365210 ◽

2015 ◽

Vol 12 (4) ◽

pp. 865-869 ◽

Cited By ~ 31

Author(s):

Yongjun Zhang ◽

Maoteng Zheng ◽

Xiaodong Xiong ◽

Jinxin Xiong

Keyword(s):

Satellite Imagery ◽

Control Point ◽

Ground Control ◽

Ground Control Point ◽

Sensor Model ◽

Bundle Block Adjustment

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Robust ground control point-matching algorithm for multichannel radar image geometric correction

10.1117/12.487981 ◽

2003 ◽

Author(s):

Gennady P. Kulemin ◽

Andrei A. Kurekin ◽

Alexander A. Zelensky ◽

Vladimir V. Lukin

Keyword(s):

Control Point ◽

Radar Image ◽

Ground Control ◽

Geometric Correction ◽

Point Matching ◽

Ground Control Point ◽

Matching Algorithm

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UAV ONBOARD GPS IN POSITIONING DETERMINATION

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xli-b1-1037-2016 ◽

2016 ◽

Vol XLI-B1 ◽

pp. 1037-1042

Author(s):

K. N. Tahar ◽

S. S. Kamarudin

Keyword(s):

Coordinate System ◽

Global Positioning System ◽

Large Scale ◽

Control Point ◽

Critical Issue ◽

Ground Control ◽

Positioning System ◽

Ground Control Points ◽

Global Positioning ◽

Point Positioning

The establishment of ground control points is a critical issue in mapping field, especially for large scale mapping. The fast and rapid technique for ground control point’s establishment is very important for small budget projects. UAV onboard GPS has the ability to determine the point positioning. The objective of this research is to assess the accuracy of unmanned aerial vehicle onboard global positioning system in positioning determination. Therefore, this research used UAV onboard GPS as an alternative to determine the point positioning at the selected area. UAV is one of the powerful tools for data acquisition and it is used in many applications all over the world. This research concentrates on the error contributed from the UAV onboard GPS during observation. There are several points that have been used to study the pattern of positioning error. All errors were analyzed in world geodetic system 84- coordinate system, which is the basic coordinate system used by the global positioning system. Based on this research, the result of UAV onboard GPS positioning could be used in ground control point establishment with the specific error. In conclusion, accurate GCP establishment could be achieved using UAV onboard GPS by applying a specific correction based on this research.

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UAV ONBOARD GPS IN POSITIONING DETERMINATION

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xli-b1-1037-2016 ◽

2016 ◽

Vol XLI-B1 ◽

pp. 1037-1042 ◽

Cited By ~ 2

Author(s):

K. N. Tahar ◽

S. S. Kamarudin

Keyword(s):

Coordinate System ◽

Global Positioning System ◽

Large Scale ◽

Control Point ◽

Critical Issue ◽

Ground Control ◽

Positioning System ◽

Ground Control Points ◽

Global Positioning ◽

Point Positioning

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EVALUASI KETELITIAN HORIZONTAL DARI CITRA TEGAK SATELIT RESOLUSI SANGAT TINGGI MENGGUNAKAN SRTM DAN TERRASAR-X UNTUK PEMETAAN SKALA BESAR

Seminar Nasional Geomatika ◽

10.24895/sng.2017.2-0.451 ◽

2018 ◽

Vol 2 ◽

pp. 535

Author(s):

Maundri Prihanggo

Keyword(s):

Control Point ◽

Ground Control ◽

Surface Model ◽

Digital Surface Model ◽

Check Point ◽

Ground Control Point

Saat ini, citra satelit resolusi sangat tinggi digunakan dalam berbagai macam aplikasi, terutama pemetaan skala besar. Sebelum dapat digunakan, citra satelit tersebut harus diorthorektifikasi terlebih dahulu. Data Digital Surface Model (DSM) dan Ground Control Point (GCP) adalah dua data utama yang diperlukan saat melakukan orthorektifikasi. Perbedaan data DSM yang digunakan akan menghasilkan perbedaan nilai ketelitian horizontal pada kedua citra tegak hasil orthorektifikasi. Pada penelitian ini digunakan dua jenis DSM yaitu SRTM dan Terrasar-X. Ketelitian vertikal dari SRTM adalah 90 m sedangkan ketelitian vertikal dari Terrasar-X adalah 12,5 m. Penelitian ini berlokasi di Wilayah Buli, Kabupaten Halmahera Timur, Provinsi Maluku. Terdapat tiga sensor citra satelit yang digunakan yaitu Pleiades, Quickbird dan Worldview-2 yang digunakan pada lokasi penelitian. Total GCP yang digunakan adalah 33 titik, tiap titiknya diukur dengan melakukan pengamatan geodetik dan memiliki ketelitian horizontal ≤15 cm dan ketelitian vertikal ≤30 cm. Ketelitian horizontal dari citra tegak satelit resolusi sangat tinggi diperoleh dengan melakukan uji terhadap Independent Check Point (ICP). Total ICP yang digunakan adalah 12 titik, tiap titik ICP diukur dengan metode dan standar yang sama dengan titik GCP. Ketelitian horizontal dengan Circular Error (CE 90) dari citra tegak satelit menggunakan data SRTM adalah 18,856 m sedangkan ketelitian horizontal dengan Circular Error (CE 90) dari citra tegak satelit menggunakan data Terrasar-X adalah 2.168 m . Hasil dari penelitian ini membuktikan bahwa ketelitian vertikal data DSM yang digunakan memberikan pengaruh pada citra tegak satelit hasil orthorektifikasi tersebut. Mengacu pada Peraturan Kepala BIG nomor 15 tahun 2014, citra tegak satelit hasil orthorektifikasi menggunakan data Terrasar-X sebagai DSM memenuhi ketelitian horizontal peta dasar kelas 3 skala 1:5.000 sedangkan citra tegak satelit hasil orthorektifikasi menggunakan data SRTM sebagai DSM tidak dapat memenuhi ketelitian horizontal peta dasar skala besar.Kata kunci: orthorektifikasi, DSM, ketelitian horizontal

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