Bundle Adjustment of Spaceborne Double-Camera Push-Broom Imagers and Its Application to Lroc Nac Imagery

Haase, I.; Gläser, P.; Oberst, J.

doi:10.5194/isprs-archives-xlii-2-w13-1397-2019

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…It can provide a maximum ground sample distance (GSD) of 10 m/pixel at a 250‐km orbit height. Actually, both the LRO NAC team and MEX HRSC team are constantly optimizing their photogrammetric software to obtain the maximum scientific return from the planetary remote sensing images (Haase et al, 2019; Heipke et al, 2007; Putri et al, 2019). However, due to the differences in the camera design and the resulting sensor model, the photogrammetric software modules, namely, the whole computational package used to complete the entire photogrammetric processing flow, developed for LRO NAC images cannot be directly used to process MEX HRSC images, and vice versa.…”

Section: Methodsmentioning

confidence: 99%

A Generic Pushbroom Sensor Model for Planetary Photogrammetry

Geng

Xing

et al. 2020

Earth and Space Science

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Different imaging instruments are designed in the planetary exploration missions, which require respective photogrammetric software modules to support the geometric processing of planetary remote sensing images. To decrease the cost of software development and maintenance, this paper presents a generic pushbroom sensor model for planetary photogrammetry. Thus, various coordinate transformations can be conducted in a unified and efficient way, without considering the specific camera and the optical distortion equations. In terms of implementation, the camera file and orientation data file designed for the airborne linear array camera ADS40 are used to manage the interior orientation and exterior orientation parameters of planetary images. The generic pushbroom sensor model supports the summing mode, varying exposure times within an image and image distortions, which are typical problems in need of a solution in planetary mapping. Furthermore, an alternative photogrammetric process based on extracting tie points on approximate orthophotos is developed. The geometric accuracy and computational efficiency of the generic pushbroom sensor model were compared with the popular planetary cartographic software-Integrated System for Imagers and Spectrometers (ISIS). The experimental results demonstrate that the proposed generic pushbroom sensor model can (1) deliver the same geometric accuracy as the ISIS pushbroom sensor model, (2) greatly improve the computational efficiency of orthophotos generation and tie points extraction, and (3) support various types of planetary remote sensing images. Moreover, the proposed generic pushbroom sensor model reduces the cost of software development because different types of planetary images share the same code base.Plain Language Summary The orbital photographs acquired by planetary imaging instruments need photogrammetric processing to be converted to cartographic products for planetary scientific research. It is noted that various types of imaging instruments are used in the planetary exploration missions, which increases the burden of photogrammetric software development and maintenance. Linear array cameras are widely adopted for planetary mapping, but the photogrammetric processing of linear pushbroom images is more complicated. In this paper, we present a generic pushbroom sensor model for photogrammetric processing of planetary images. Thus, various types of planetary pushbroom images can be processed in a unified and efficient way. In addition, a tie points extraction method based on approximate orthophotos is developed, which can decrease the search range and improve the computational efficiency of image matching. The feasibility of the proposed generic pushbroom sensor model is verified with both lunar and Martian images. Key Points: • We present a generic and efficient pushbroom sensor model for planetary photogrammetry. • The generic pushbroom sensor model greatly improves the computational efficiency of orthophotos generation and tie points extractions. • The generic push...

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Section: Methodsmentioning

confidence: 99%

A Generic Pushbroom Sensor Model for Planetary Photogrammetry

Geng

Xing

et al. 2020

Earth and Space Science

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“…Bundle block adjustment was one of the key techniques in the processing and evaluation of LROC NAC images. Through bundle adjustment of stereo images, the RMS errors can be reduced to sub-pixel to one pixel level (Henriksen et al, 2017;Haase et al, 2019). So far, LROC NAC stereo images have been widely used in generation of high-resolution mapping products after block adjustment for various applications, e.g., landing site topographic analysis (Haase et al, 2012;Karachevtseva et al, 2013;Wu et al, 2014a).…”

Section: Photogrammetric Block Adjustment For Geometric Model Refinementmentioning

confidence: 99%

Topographic Mapping of the Moon in the 21st Century: From Hectometer to Millimeter Scales

Oberst

Karachevtseva

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This paper presents a review of lunar topographic mapping in the two decades of the 21st century, including descriptions of lunar exploration missions, relevant payloads and data, mapping techniques, as well as global and regional mapping products. Various lunar photogrammetric mapping techniques such as construction of geometric models of lunar orbital images, block adjustments, shape from shading, co-registration of lunar orbital image and elevation data have been developed to process lunar orbital images and generate mapping products. Global topographic products at hectometer and decameter scales have been produced from orbital images and/or laser altimeter data. Regional topographic maps of the landing sites and other sites of interest have been generated at meter-scale using the sub-meter to meter resolution orbital images. Detailed local topographic products at centimeter to millimeter scales of the landing sites and rover traverse areas have been produced using descent images acquired by the landers and stereo images acquired by the rovers. These multiple-scale topographic mapping products have been extensively used to support various science applications, as well as engineering applications such as surface operations of the rovers.

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“…Stereo-model based photogrammetry is the most widely used technique to retrieve high-resolution lunar surface DTMs from stereo or multi-view NAC observations [15], [17]. While NACs have collected enough measurements to almost completely cover the lunar surface at least once, stereo pairs suitable for retrieving terrain models (which require a tilting of the spacecraft in consecutive orbits) are still spatially limited [17], [18]. Therefore, the construction of large-area DTMs from multiple stereo NAC images has been a longstanding challenge and issue.…”

Section: Introductionmentioning

confidence: 99%

CNN-Based Large Area Pixel-Resolution Topography Retrieval From Single-View LROC NAC Images Constrained With SLDEM

Chen¹,

Hu²,

Gläser³

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The production of high-resolution Digital Terrain Models (DTMs) based on images is often hampered by the lack of appropriate stereo observations. Here, we propose a deep learning-based reconstruction of pixel-resolution DTMs from Lunar Reconnaissance Orbiter (LRO) single-view Narrow Angle Camera (NAC) images, constrained by Selenological and Engineering Explorer and LRO LOLA Elevation Models (SLDEM). The procedure is carried out for a set of adjacent images, and the mosaicking of a contiguous large-area DTM is demonstrated. The approach is applied to the CE-3 and CE-4 landing sites, involving six multiple coverage and eight adjacent NAC L/R image pairs, respectively. For the DTM reconstruction, we use an improved Convolutional Neural Network (CNN) architecture with a weighted sum loss function involving three loss terms. We demonstrate that our method is robust and can deal with images acquired under varying illumination conditions. The DTM mosaic (1.5 m pixel size) covering the CE-4 landing area (72.8 km x 30.3 km) is without apparent seams between the individual image boundaries and consistent with the SLDEM (60 m pixel size) in terms of overall elevation, trend, and scale, but is showing considerably more morphologic detail.

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Bundle Adjustment of Spaceborne Double-Camera Push-Broom Imagers and Its Application to Lroc Nac Imagery

Cited by 3 publications

References 11 publications

A Generic Pushbroom Sensor Model for Planetary Photogrammetry

A Generic Pushbroom Sensor Model for Planetary Photogrammetry

Topographic Mapping of the Moon in the 21st Century: From Hectometer to Millimeter Scales

CNN-Based Large Area Pixel-Resolution Topography Retrieval From Single-View LROC NAC Images Constrained With SLDEM

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