Search Results - "Datcu, M"

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  1. 1

    SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS by Marmanis, D., Wegner, J. D., Galliani, S., Schindler, K., Datcu, M., Stilla, U.

    “…This paper describes a deep learning approach to semantic segmentation of very high resolution (aerial) images. Deep neural architectures hold the promise of…”
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    Journal Article
  2. 2

    FLOOD DETECTION IN TIME SERIES OF OPTICAL AND SAR IMAGES by Rambour, C., Audebert, N., Koeniguer, E., Le Saux, B., Crucianu, M., Datcu, M.

    “…These last decades, Earth Observation brought a number of new perspectives from geosciences to human activity monitoring. As more data became available,…”
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    Journal Article Conference Proceeding
  3. 3

    MACHINE LEARNING FOR SEA ICE MONITORING FROM SATELLITES by Dumitru, C. O., Andrei, V., Schwarz, G., Datcu, M.

    “…Today, radar imaging from space allows continuous and wide-area sea ice monitoring under nearly all weather conditions. To this end, we applied modern machine…”
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    Journal Article Conference Proceeding
  4. 4

    MACHINE LEARNING TECHNIQUES FOR KNOWLEDGE EXTRACTION FROM SATELLITE IMAGES: APPLICATION TO SPECIFIC AREA TYPES by Dumitru, C. O., Schwarz, G., Datcu, M.

    “…When we want to extract knowledge form satellite images, several well-known image classification and analysis techniques can be concatenated or combined to…”
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    Journal Article Conference Proceeding
  5. 5

    Ratio-Detector-Based Feature Extraction for Very High Resolution SAR Image Patch Indexing by Shiyong Cui, Dumitru, C. O., Datcu, M.

    Published in IEEE geoscience and remote sensing letters (01-09-2013)
    “…With the advent of very high resolution (VHR) synthetic aperture radar (SAR) images, local content description is becoming a critical issue for indexing…”
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  6. 6

    Wavelet-Based Despeckling of SAR Images Using Gauss-Markov Random Fields by Gleich, D., Datcu, M.

    “…In this paper, a wavelet-based speckle-removing algorithm is represented and tested on synthetic aperture radar (SAR) images. The SAR image is first…”
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    Journal Article
  7. 7

    Wavelet-Based SAR Image Despeckling and Information Extraction, Using Particle Filter by Gleich, D., Datcu, M.

    Published in IEEE transactions on image processing (01-10-2009)
    “…This paper proposes a new-wavelet-based synthetic aperture radar (SAR) image despeckling algorithm using the sequential Monte Carlo method. A model-based…”
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    Journal Article
  8. 8

    Model-based despeckling and information extraction from SAR images by Walessa, M., Datcu, M.

    “…Basic textures as they appear, especially in high resolution SAR images, are affected by multiplicative speckle noise and should be preserved by despeckling…”
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    Journal Article Conference Proceeding
  9. 9

    Stochastic geometrical modeling for built-up area understanding from a single SAR intensity image with meter resolution by Quartulli, M., Datcu, M.

    “…To investigate the limits and merits of information extraction from a single high-resolution synthetic aperture radar (SAR) backscatter image, we introduce a…”
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  10. 10

    Data Mining and Knowledge Discovery tools for exploiting big Earth-Observation data by Espinoza Molina, D., Datcu, M

    “…The continuous increase in the size of the archives and in the variety and complexity of Earth-Observation (EO) sensors require new methodologies and tools…”
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    Journal Article Conference Proceeding
  11. 11

    Human-centered concepts for exploration and understanding of Earth observation images by Datcu, M., Seidel, K.

    “…The progress in information retrieval, computer vision, and image analysis makes it possible to establish very complete bases of algorithms and operators. A…”
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    Journal Article
  12. 12

    Information mining in remote sensing image archives: system concepts by Datcu, M., Daschiel, H., Pelizzari, A., Quartulli, M., Galoppo, A., Colapicchioni, A., Pastori, M., Seidel, K., Marchetti, P.G., D'Elia, S.

    “…In this paper, we demonstrate the concepts of a prototype of a knowledge-driven content-based information mining system produced to manage and explore large…”
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    Journal Article
  13. 13

    Road detection in dense urban areas using SAR imagery and the usefulness of multiple views by Tupin, F., Houshmand, B., Datcu, M.

    “…This paper deals with the automatic extraction of the road network in dense urban areas using a few-meters-resolution synthetic aperture radar (SAR) images…”
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  14. 14

    Modeling trajectory of dynamic clusters in image time-series for spatio-temporal reasoning by Heas, P., Datcu, M.

    “…During the last decades, satellites have acquired incessantly high-resolution images of many Earth observation sites. New products have arisen from this…”
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  15. 15

    Image Time-Series Data Mining Based on the Information-Bottleneck Principle by Gueguen, L., Datcu, M.

    “…Satellite image time series (SITS) consist of a time sequence of high-resolution spatial data. SITS may contain valuable information, but it may be deeply…”
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    Journal Article
  16. 16

    A Similarity Metric for Retrieval of Compressed Objects: Application for Mining Satellite Image Time Series by Gueguen, L., Datcu, M.

    “…This paper addresses the problem of building an index of compressed object databases. We introduce an informational similarity measure based on the coding…”
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  17. 17

    Gauss-Markov Model for Wavelet-Based SAR Image Despeckling by Gleich, D., Datcu, M.

    Published in IEEE signal processing letters (01-06-2006)
    “…This letter presents synthetic aperture radar (SAR) image despeckling using dyadic wavelet transform. Maximum a posteriori (MAP) estimation is used to…”
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    Journal Article
  18. 18

    Information fusion approach for the data classification: an example for ERS-1/2 InSAR data by Palubinskas, G., Datcu, M.

    Published in International journal of remote sensing (01-01-2008)
    “…A huge amount of various remote sensing data have been acquired and archived during recent years. Information extraction from these data is still a challenging…”
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  19. 19

    Information mining in remote sensing image archives: system evaluation by Daschiel, H., Datcu, M.

    “…We present an algorithmic protocol for the evaluation of a content-based remote sensing image information mining system. In order to provide users fast access…”
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    Journal Article
  20. 20

    DEEP NEURAL NETWORKS FOR ABOVE-GROUND DETECTION IN VERY HIGH SPATIAL RESOLUTION DIGITAL ELEVATION MODELS by Marmanis, D., Adam, F., Datcu, M., Esch, T., Stilla, U.

    “…Deep Learning techniques have lately received increased attention for achieving state-of-the-art results in many classification problems, including various…”
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