- Calibration and Measurement Techniques
- Satellite Image Processing and Photogrammetry
- Geochemistry and Geologic Mapping
- Robotics and Sensor-Based Localization
- Remote-Sensing Image Classification
- Infrared Target Detection Methodologies
- Remote Sensing in Agriculture
- Soil Geostatistics and Mapping
- Advanced Image and Video Retrieval Techniques
- Atmospheric and Environmental Gas Dynamics
- Spectroscopy and Chemometric Analyses
- Myofascial pain diagnosis and treatment
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Remote Sensing and LiDAR Applications
- Atmospheric Ozone and Climate
- Geophysics and Gravity Measurements
- Soil Carbon and Nitrogen Dynamics
- Image and Object Detection Techniques
- Medical Practices and Rehabilitation
- Geological Modeling and Analysis
- Advanced Neural Network Applications
- Medical and Health Sciences Research
- Monoclonal and Polyclonal Antibodies Research
- Powder Metallurgy Techniques and Materials
- Medical Image Segmentation Techniques
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2009-2023
University of Applied Sciences Landshut
2010
EnMAP (Environmental Mapping and Analysis Program) is a high-resolution imaging spectroscopy remote sensing mission that was successfully launched on April 1st, 2022. Equipped with prism-based dual-spectrometer, performs observations in the spectral range between 418.2nm 2445.5nm 224 bands high radiometric accuracy stability. products, ground instantaneous field-of-view of 30m×30m at swath width 30km, allow for qualitative quantitative analysis surface variables from frequently consistently...
P. Schwindab, S. Suria*, Reinartza & A. Siebertb a German Aerospace Center (DLR), Remote Sensing Technology Institute , 82234, Wessling, Germany b University of Applied Sciences, Department Computer Science 84036, Landshut,
Reflectance composites that capture bare soil pixels from multispectral image data are increasingly being analysed to model constituents such as organic carbon. These temporal used instead of single-date images account for the frequent vegetation cover soils and, thus, get broader spatial coverage pixels. Most compositing techniques require thresholds derived spectral indices Normalised Difference Vegetation Index (NDVI) and Burn Ratio 2 (NBR2) separate all other land types. However,...
With the increasing availability and rapidly improving spatial resolution of synthetic aperture radar (SAR) images from latest future satellites like TerraSAR-X TanDEM-X, their applicability in remote sensing applications is set to be paramount. Considering challenges field point feature-based multisensor/multimodal SAR image matching/registration advancements computer vision, we extend scale invariant feature transform (SIFT) operator for images. In this article, have analysed detection,...
The atmospheric correction of satellite images based on radiative transfer calculations is a prerequisite for many remote sensing applications. software package ATCOR, developed at the German Aerospace Center (DLR), versatile software, capable processing data acquired by different optical sensors. Based this well established algorithm, new Python-based has been to generate L2A products Sentinel-2, Landsat-8, and space-based hyperspectral sensors such as DESIS (DLR Earth Sensing Imaging...
The German Aerospace Center (DLR) is responsible for the development of prototype processors PRISM and AVNIR-2 data under a contract European Space Agency. processor comprises radiometric correction, an optional deconvolution to improve image quality, generation digital elevation model, orthorectification. orthorectification, atmospheric correction over land. Here, we present methodologies applied during these processing steps as well results achieved using processors.
Today, the ground segments of Landsat and Sentinel missions provide a wealth well-calibrated, characterized datasets which are already orthorectified corrected for atmospheric effects. Initiatives such as CEOS Analysis Ready Data (ARD) propose ensure guidelines requirements so that can readily be used, interoperability within between is given. With increasing availability data from operational research-oriented spaceborne hyperspectral sensors EnMAP, DESIS PRISMA, in preparation upcoming...
Abstract. In this paper a method to improve the co-registration accuracy of two separate HySpex SWIR and VNIR cameras is proposed. The first step presented approach deals with detection point features from both scenes using BRISK feature detector. After matching these features, match coordinates in scene are orthorectified resulting ground control points filtered sensor-model based RANSAC. This implementation RANSAC estimates boresight angles by iteratively fitting subset matches. which can...
Abstract. Over the last years several research studies have shown high geometric accuracy of resolution radar satellites like TerraSARX. Due to this fact, impact SAR images for image registration has increased. An aim is improvement absolute optical by using as references. High required different remote sensing applications and an on-going topic. The acquired sensor types, images, a challenging task. In our work, novel approach proposed, which combination classical feature-based...
Astronaut photography acquired from the International Space Station presently is only available option for free global high-resolution nighttime light (NTL) imagery. Unfortunately, these data are not georeferenced, meaning they cannot easily be used many remote sensing applications such as change detection or fusion. Georeferencing NTL manually, example, by finding tie points, difficult due to strongly differing appearance of any potential references. Therefore, realizing an automatic method...
Binary Robust Invariant Scalable Keypoints (BRISK) is one of several relatively new matching algorithms aiming to improve well-established such as Scale-Invariant Feature Transform (SIFT) or Speeded-Up Features. A detailed evaluation the BRISK applicability for geometric registration remote sensing images performed. As original algorithm was not developed with a focus on image matching, practical processing chain newly acquired reference developed. This also includes modified Random Sample...
Since November 2022, the PACO [1] atmospheric correction program has operated routinely as L2A processor in ground segment for hyperspectral missions DESIS [2] and EnMAP [3]. Both monitor Earth's environment similar to other operational like PRISMA [4] EMIT [5]. The Ground Segment corrects at-sensor received terrestrial reflection of incident solar radiation effects constituents generating Bottom-Of-Atmosphere (BOA) reflectance spectral image cube, along with pixel-classification masks,...
A rapid screening method for the detection of antiphospholipid antibodies is described. Dense, red dyed polystyrene beads coated with cardiolipin were incubated test sera a short period time, then added to microtube containing anti-human IgG in gel provided within pre-cast card (DiaMed ID Microtyping System). The was centrifuged at 150g 5 min and examined movement through gel. Beads without bound antibody travelled formed pellet on bottom tube. Anti-human matrix impeded cardiolipin-coated...
The very high geometric accuracy of geocoded data the TerraSAR-X satellite has been shown in several investigations. This precision reached fully automatically without any human interaction and is due to good sensor calibration, position low dependency on satellites attitude solution. High resolution optical images from space don't show this need further ground control information, which mainly insufficient knowledge. Therefore can be used as ¿ground control¿ improve exterior orientation...
The radiometric performance of EnMAP is presented based on scenes over RadCalNet and PICS sites acquired during the first year since launch. results show typical accuracy stability attainable by products.
Spaceborne imaging spectroscopy is undergoing a rapid expansion with new generation of missions in recent years. Following the Hyperion (2000) and HICO (2009) missions, spaceborne have recently started operating: DESIS (2018), PRISMA (2019), HISUI (2019) more EnMAP (2022) EMIT (2022). These face common challenge providing accurate spectral radiometric results over wide range. This requires instrument calibration validation obtained. In this contribution, we provide an overview (CalVal)...