Search Results - "Datcu, M"
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SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (06-06-2016)“…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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FLOOD DETECTION IN TIME SERIES OF OPTICAL AND SAR IMAGES
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (01-01-2020)“…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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MACHINE LEARNING FOR SEA ICE MONITORING FROM SATELLITES
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (17-09-2019)“…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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MACHINE LEARNING TECHNIQUES FOR KNOWLEDGE EXTRACTION FROM SATELLITE IMAGES: APPLICATION TO SPECIFIC AREA TYPES
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (28-06-2021)“…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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5
Ratio-Detector-Based Feature Extraction for Very High Resolution SAR Image Patch Indexing
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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Wavelet-Based Despeckling of SAR Images Using Gauss-Markov Random Fields
Published in IEEE transactions on geoscience and remote sensing (01-12-2007)“…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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Wavelet-Based SAR Image Despeckling and Information Extraction, Using Particle Filter
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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Model-based despeckling and information extraction from SAR images
Published in IEEE transactions on geoscience and remote sensing (01-09-2000)“…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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Stochastic geometrical modeling for built-up area understanding from a single SAR intensity image with meter resolution
Published in IEEE transactions on geoscience and remote sensing (01-09-2004)“…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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Data Mining and Knowledge Discovery tools for exploiting big Earth-Observation data
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (01-01-2015)“…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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Human-centered concepts for exploration and understanding of Earth observation images
Published in IEEE transactions on geoscience and remote sensing (01-03-2005)“…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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Information mining in remote sensing image archives: system concepts
Published in IEEE transactions on geoscience and remote sensing (01-12-2003)“…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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Road detection in dense urban areas using SAR imagery and the usefulness of multiple views
Published in IEEE transactions on geoscience and remote sensing (01-11-2002)“…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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Modeling trajectory of dynamic clusters in image time-series for spatio-temporal reasoning
Published in IEEE transactions on geoscience and remote sensing (01-07-2005)“…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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Image Time-Series Data Mining Based on the Information-Bottleneck Principle
Published in IEEE transactions on geoscience and remote sensing (01-04-2007)“…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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A Similarity Metric for Retrieval of Compressed Objects: Application for Mining Satellite Image Time Series
Published in IEEE transactions on knowledge and data engineering (01-04-2008)“…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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Gauss-Markov Model for Wavelet-Based SAR Image Despeckling
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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Information fusion approach for the data classification: an example for ERS-1/2 InSAR data
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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Information mining in remote sensing image archives: system evaluation
Published in IEEE transactions on geoscience and remote sensing (01-01-2005)“…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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DEEP NEURAL NETWORKS FOR ABOVE-GROUND DETECTION IN VERY HIGH SPATIAL RESOLUTION DIGITAL ELEVATION MODELS
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (01-01-2015)“…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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