Multi-image tie-point detection applied to multi-angle imagery from MISR
An automatic tie-point (TP) detection algorithm for multi-image triangulation and registration is described.
tie-point multi-image registration relational-base↗
Engineering topics
Zong, J.
Publications and source records attributed to Zong, J..
Accuracy analysis in support of the global quality assessment of MISR georectified radiance product
Instantaneously, the nine pushbroom cameras of the Multi-angle Image SpectroRadiometer (MISR) instrument view the Earth at nine discrete angles, ranging from forward 70 deg, 60 deg, 45 deg, 25 deg, nadir, to symmetric aftward angles in the along-track direction.
MISR GRP Multi-angle Image SpectroRadiometer geo-r↗
Georectification of the airborne multi-angle imaging spectroradiometer
This paper provides a description of the algorithm and operational aspects of AirMISR georectification along with examples and results from a recent flight.
earth science multi-angle rectification↗
MISR Level 1 Ancillary Geographic Product Algorithm Theoretical Basis
This Algorithm Theoretical Basis (ATB) document describes the algorithms used to derive the parameters which make up the level 1 Ancillary Geographic Product (AGP).
geographical elevations ancillary algorithm↗
Level 1 Georectification and Registration Algorithm Theoretical Basis
This Algorithm Theoretical Basis (ATB) document describes the algorithms used to generate the Multi-angle Imaging SpectroRadiometer (MISR) Level 1B2 Georectified Radiance Product (GRP).
photogrammetry geolocation map-projection registra↗
Level 1 In-Flight Geometric Calibration Algorithm Theoretical Basis
The multi-angle Imaging SpectroRadiometer (MISR) is part of an Earth Observing System (EOS) payload to be launched in 1998.
geometry calibration georectification in-flight↗
Geometric Retrieval of Cloud Top Height from MISR Imagery
This paper presents the above three processing steps starting from an accurate and efficient project of multi-angle MISR image data to the ellipsoid surface, followed by a mathematical derivation which separates the cloud motion and height, and finally an automatic image matching and ray intersection algorithm for high resolution cloud top height retrieval.
Image↗
MISR Band-to-Band Registration
During the standard geo-rectification processing of the MISR imagery, all four spectral bands belonging to each of the nine MISR cameras are required to be geolocated and co-registered automatically with about one pixel accuracy. Two steps of processing are designed to accomplish this goal: 1)a complex multi-camera geolocation and co-registration of the red spectral band data for all nine cameras, and 2) the co-registration of the other three spectral bands of MISR imagery of each camera using their relationship with the already geolocated red band imagery. This paper addresses the second processing.
geolocationco-registration↗