Research-grade CMOS image sensors for remote sensing applications [PDF]
, 2004 Imaging detectors are key elements for optical instruments and sensors on board space missions dedicated to Earth observation (high resolution imaging, atmosphere spectroscopy...), Solar System exploration (micro cameras, guidance for autonomous vehicle.
Belliot, Pierre +8 more
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FROM POINT CLOUD TO 3D MODEL, MODELLING METHODS BASED ON ARCHITECTURAL KNOWLEDGE APPLIED TO FORTRESS OF CHÂTEL-SUR-MOSELLE (FRANCE) [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 3D survey techniques applied to buildings such as photogrammetry and laser scanning produces a volume of data very important. Upon acquisition, the issue of data management greatly influences the acquisition parameters and production data. Contemporary
E. Alby, P. Grussenmeyer
doaj +1 more source
Frontiers in Earth Science, 2022 Recently, unsupervised domain adaptation (UDA) has attracted increasing attention to address the domain shift problem in the semantic segmentation task.
Junfeng Wu +7 more
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Mapping Lower Saxony’s salt marshes using temporal metrics of multi-sensor satellite data
International Journal of Applied Earth Observations and Geoinformation, 2022 Salt marshes act as an important natural buffer in terms of coastal protection in the light of the rising sea level. Due to weather events like extreme storms the extent of salt marshes changes. Hence, it is of great importance to regularly monitor these
Kim-Jana Stückemann, Björn Waske
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An Adaptive Semi-Parametric and Context-Based Approach to Unsupervised Change Detection in Multitemporal Remote-Sensing Images [PDF]
, 2002 In this paper, a novel automatic approach to the unsupervised identification of changes in multitemporal remote-sensing images is proposed. This approach, unlike classical ones, is based on the formulation of the unsupervised change-detection problem in ...
Bruzzone, Lorenzo +1 more
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PolSAR Image Classification Using a Superpixel-Based Composite Kernel and Elastic Net
Remote Sensing, 2021 The presence of speckles and the absence of discriminative features make it difficult for the pixel-level polarimetric synthetic aperture radar (PolSAR) image classification to achieve more accurate and coherent interpretation results, especially in the ...
Yice Cao +4 more
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Combining Parametric and Non-parametric Algorithms for a Partially Unsupervised Classification of Multitemporal Remote-Sensing Images [PDF]
, 2002 In this paper, we propose a classification system based on a multiple-classifier architecture, which is aimed at updating land-cover maps by using multisensor and/or multisource remote-sensing images.
Bruzzone, Lorenzo +2 more
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Comparison of manual and semi-automated synthetic training data creation for individual tree crown delineation [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesDeep learning models in the field of individual tree detection and crown delineation (ITDCD) rely on large and high-quality annotation datasets to produce accurate predictions.
J. Steier, D. Iwaszczuk
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Computational ghost imaging for remote sensing [PDF]
Journal of the Optical Society of America A, 2012 Computational ghost imaging is a structured-illumination active imager coupled with a single-pixel detector that has potential applications in remote sensing. Here we report on an architecture that acquires the two-dimensional spatial Fourier transform of the target object (which can be inverted to obtain a conventional image).
openaire +2 more sources
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation
, 2019 Remote sensing (RS) image retrieval is of great significant for geological information mining. Over the past two decades, a large amount of research on this task has been carried out, which mainly focuses on the following three core issues: feature ...
Datcu, Mihai +5 more
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