Real-time georeferencing for an airborne hyperspectral imaging system

Opsahl, Thomas Olsvik; Haavardsholm, Trym Vegard; Winjum, Ingebrigt

doi:10.1117/12.885069

Cited by 11 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Together with ONERA's hyperspectral imaging instrument, SIELETERS, made for MWIR and LWIR, SYSIPHE constitutes a hyperspectral imaging system covering the atmospheric transmission bands over a broad spectral range going all the way from 0.4 µm to 11.5 µm. FFI has developed a general software framework for real-time processing 3,4 which has been adapted for ODIN-1024 in a collaboration between FFI and NEO. In addition, further real-time software was developed and real-time functionalities were implemented.…”

Section: Introductionmentioning

confidence: 99%

A next generation VNIR-SWIR hyperspectral camera system: HySpex ODIN-1024

et al. 2014

View full text Add to dashboard Cite

The HySpex ODIN-1024 is an airborne VNIR-SWIR hyperspectral imaging system which advances the state of the art with respect to both performance and system functionality. HySpex ODIN-1024 is designed as a single instrument for both VNIR (0.4 to 1 µm wavelength) and SWIR (1 to 2.5 µm) rather than being a combination of two separate instruments. With the common fore-optics of the single instrument, a more accurate and stable co-registration is achieved across the full spectral range compared to having two individual instruments. For SWIR the across-the-track resolution is 1024 pixels, while for VNIR the user of the instrument can choose a resolution of either 1024 or 2048 pixels. In addition to high spatial resolution, the optical design enables low smile-and keystone distortion and high sensitivity obtained through low F-numbers of F1.64 for VNIR and F2.0 for SWIR. The camera utilizes state of the art scientific CMOS (VNIR) and MCT (SWIR) sensors with low readout noise, high speed and spatial resolution. The system has an onboardcalibration subsystem to monitor the stability of the instrument during variations in environmental conditions. It features an integrated real-time processing functionality, enabling real-time detection, classification, and georeferencing. We present an overview of the performance of the instrument and results from airborne data acquisitions.

show abstract

Section: Introductionmentioning

confidence: 99%

A next generation VNIR-SWIR hyperspectral camera system: HySpex ODIN-1024

et al. 2014

View full text Add to dashboard Cite

show abstract

“…We assume that the pushbroom data has been georeferenced so that each pushbroom sample has an associated world coordinate in a coordinate frame for the Earth, e.g., the standard WGS84 system [1], [2], [3]. For a nadir looking sensor, the pushbroom samples are structured in an approximate line pattern, see Fig.…”

Section: Problem Descriptionmentioning

confidence: 99%

“…Each sensor element has an instantaneous field-of-view of approximately 0.18 mrad across-and 0.36 mrad along-track, yielding an average ground sample distance for this particular data set of about 35 cm. The data was georeferenced using auxiliary INS and DSM data [2]. Three subsets from the 8.6 km long swath were selected for the evaluations experiments, see Fig.…”

Section: Datamentioning

confidence: 99%

“…2 bottom, two problems must be solved: (1) georeferencing and (2) scattered data interpolation. A georeferencing algorithm assigns a world coordinate to each acquired data point, e.g., in the standard WGS84 system [1], [2], [3], by projecting the point down to the ground. This can be done based on a camera model and navigation data from an on-board INS system [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Anisotropic Scattered Data Interpolation for Pushbroom Image Rectification

Ringaby

Friman

Forssén

et al. 2014

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

Abstract-This article deals with fast and accurate visualization of pushbroom image data from airborne and spaceborne platforms. A pushbroom sensor acquires images in a linescanning fashion, and this results in scattered input data that needs to be resampled onto a uniform grid for geometrically correct visualization. To this end, we model the anisotropic spatial dependence structure caused by the acquisition process. Several methods for scattered data interpolation are then adapted to handle the induced anisotropic metric and compared for the pushbroom image rectification problem. A trick that exploits the semi-ordered line structure of pushbroom data to improve the computational complexity several orders of magnitude is also presented.

show abstract

“…Some recent work describes GPU use in airborne sensor data processing [21][22][23][24][25]. However, not many have yet been deeply explored for satellite remote sensing applications [26], especially for algorithms that go beyond those provided in the CUDA example code library.…”

Section: General Introduction To Gpu Computingmentioning

confidence: 99%

Geo-Correction of High-Resolution Imagery Using Fast Template Matching on a GPU in Emergency Mapping Contexts

Lemoine

Giovalli

2013

Remote Sensing

View full text Add to dashboard Cite

Abstract:The increasing availability of satellite imagery acquired by existing and new sensors allows a wide variety of new applications that depend on the use of diverse spectral and spatial resolution data sets. One of the pre-conditions for the use of hybrid image data sets is a consistent geo-correction capacity. We demonstrate how a novel fast template matching approach implemented on a graphics processing unit (GPU) allows us to accurately and rapidly geo-correct imagery in an automated way. The key difference with existing geo-correction approaches, which do not use a GPU, is the possibility to match large source image segments (8,192 by 8,192 pixels) with relatively large templates (512 by 512 pixels) significantly faster. Our approach is sufficiently robust to allow for the use of various reference data sources. The need for accelerated processing is relevant in our application context, which relates to mapping activities in the European Copernicus emergency management service. Our new method is demonstrated over an area northwest of Valencia (Spain) for a large forest fire event in July 2012. We use the Disaster Monitoring Constellation's (DMC) DEIMOS-1 and RapidEye imagery for the delineation of burnt scar extent. Automated geo-correction of each full resolution image set takes approximately one minute. The reference templates are taken from the TerraColor data set and the Spanish national ortho-imagery database, through the use of dedicated web map services. Geo-correction results are compared to the vector sets derived in the Copernicus emergency service activation request.

show abstract

Real-time georeferencing for an airborne hyperspectral imaging system

Cited by 11 publications

References 0 publications

A next generation VNIR-SWIR hyperspectral camera system: HySpex ODIN-1024

A next generation VNIR-SWIR hyperspectral camera system: HySpex ODIN-1024

Anisotropic Scattered Data Interpolation for Pushbroom Image Rectification

Geo-Correction of High-Resolution Imagery Using Fast Template Matching on a GPU in Emergency Mapping Contexts

Contact Info

Product

Resources

About