Abstract
Abstract. Geometric correction is an important preprocessing process in the application of GF4 PMS image. The method of geometric correction that is based on the manual selection of geometric control points is time-consuming and laborious. The more common method, based on a reference image, is automatic image registration. This method involves several steps and parameters. For the multi-spectral sensor GF4 PMS, it is necessary for us to identify the best combination of parameters and steps. This study mainly focuses on the following issues: necessity of Rational Polynomial Coefficients (RPC) correction before automatic registration, base band in the automatic registration and configuration of GF4 PMS spatial resolution.
Highlights
The first high-resolution remote-sensing satellite GF4 was launched successfully on a geosynchronous orbit on December 29, 2015.GF4 carries a panchromatic multispectral camera (Panchromatic and Multispectral Scanner, PMS) and an infrared camera (Infrared Scanner, IRS)
Geometric correction is an important preprocessing process in the application of GF4 PMS image. (Yu & Tian, 2017)The method of geometric correction that is based on the manual selection of geometric control points is time-consuming and laborious
This study mainly focuses on the following issues: 1. Necessity of Rational Polynomial Coefficients (RPC) correction before automatic registration: GF4 PMS provides the parameters for RPC correction, and we may or may not use these parameters to cause the RPC correction before automatic registration. (Liu,2013) it is important to ensure that RPC correction improves the accuracy of automatic registration
Summary
The first high-resolution remote-sensing satellite GF4 was launched successfully on a geosynchronous orbit on December 29, 2015.GF4 carries a panchromatic multispectral camera (Panchromatic and Multispectral Scanner, PMS) and an infrared camera (Infrared Scanner, IRS). GF4 PMS has a panchromatic band (0.45~0.90μm) and four multispectral bands, namely, blue band (0.45~0.52μm), green band (0.52~0.60μm), red band (0.63~0.69μm), and an infrared band (0.76~0.90μm). Their spatial resolution is 50 m, which is highest among remote sensing satellites on the geosynchronous orbit. The more common method, based on a reference image, is automatic image registration. This method involves several steps and parameters. (Liu,2013) it is important to ensure that RPC correction improves the accuracy of automatic registration This study mainly focuses on the following issues: 1. Necessity of Rational Polynomial Coefficients (RPC) correction before automatic registration: GF4 PMS provides the parameters for RPC correction, and we may or may not use these parameters to cause the RPC correction before automatic registration. (Liu,2013) it is important to ensure that RPC correction improves the accuracy of automatic registration
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