LEADER 04989nam 22008415 450 001 9910645892803321 005 20240223125701.0 010 $a3-031-21225-8 024 7 $a10.1007/978-3-031-21225-3 035 $a(MiAaPQ)EBC7184201 035 $a(Au-PeEL)EBL7184201 035 $a(CKB)26027668100041 035 $a(DE-He213)978-3-031-21225-3 035 $a(PPN)267807619 035 $a(EXLCZ)9926027668100041 100 $a20230118d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSynthetic Aperture Radar (SAR) Data Applications /$fedited by Maciej Rysz, Arsenios Tsokas, Kathleen M. Dipple, Kaitlin L. Fair, Panos M. Pardalos 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (282 pages) 225 1 $aSpringer Optimization and Its Applications,$x1931-6836 ;$v199 311 08$aPrint version: Rysz, Maciej Synthetic Aperture Radar (SAR) Data Applications Cham : Springer International Publishing AG,c2023 9783031212246 327 $aEnd-to-End ATR Leveraging Deep Learning (M. Kreucher) -- Change Detection in SAR Images using Deep Learning Methods (Bovolo) -- Homography Augmented Momentum Contrastive Learning for SAR Image Retrieval (M. Rysz) -- Synthetic Aperture Radar Image Based Navigation Using Siamese Neural Networks (Semenov) -- A Comparison of Deep Neural Network Architectures in Aircraft Detection from SAR Imagery (L. Chen) -- Machine Learning Methods for SAR Interference Mitigation (Huang) -- Classification of SAR Images using Compact Convolutional Neural Networks (Ahishali) -- Multi-frequency Polarimetric SAR Data Analysis for Crop Type Classification using Random Forest (Mandal) -- Automatic Determination of Different Soil Types via Several Machine Learning Algorithms Employing Radarsat-2 SAR Image Polarization Coefficients (E. Acar) -- Ocean and coastal area information retrieval using SAR polarimetry (A. Buono). 330 $aThis carefully curated volume presents an in-depth, state-of-the-art discussion on many applications of Synthetic Aperture Radar (SAR). Integrating interdisciplinary sciences, the book features novel ideas, quantitative methods, and research results, promising to advance computational practices and technologies within the academic and industrial communities. SAR applications employ diverse and often complex computational methods rooted in machine learning, estimation, statistical learning, inversion models, and empirical models. Current and emerging applications of SAR data for earth observation, object detection and recognition, change detection, navigation, and interference mitigation are highlighted. Cutting edge methods, with particular emphasis on machine learning, are included. Contemporary deep learning models in object detection and recognition in SAR imagery with corresponding feature extraction and training schemes are considered. State-of-the-art neural network architectures in SAR-aided navigation are compared and discussed further. Advanced empirical and machine learning models in retrieving land and ocean information ? wind, wave, soil conditions, among others, are also included. . 410 0$aSpringer Optimization and Its Applications,$x1931-6836 ;$v199 606 $aMathematical optimization 606 $aCalculus of variations 606 $aArtificial intelligence 606 $aStatistics 606 $aMachine learning 606 $aQuantitative research 606 $aCalculus of Variations and Optimization 606 $aArtificial Intelligence 606 $aStatistics 606 $aMachine Learning 606 $aData Analysis and Big Data 606 $aOptimitzaciķ matemātica$2thub 606 $aCālcul de variacions$2thub 606 $aIntelˇligčncia artificial$2thub 606 $aAprenentatge automātic$2thub 606 $aProcessament de dades$2thub 608 $aLlibres electrōnics$2thub 615 0$aMathematical optimization. 615 0$aCalculus of variations. 615 0$aArtificial intelligence. 615 0$aStatistics. 615 0$aMachine learning. 615 0$aQuantitative research. 615 14$aCalculus of Variations and Optimization. 615 24$aArtificial Intelligence. 615 24$aStatistics. 615 24$aMachine Learning. 615 24$aData Analysis and Big Data. 615 7$aOptimitzaciķ matemātica 615 7$aCālcul de variacions 615 7$aIntelˇligčncia artificial 615 7$aAprenentatge automātic 615 7$aProcessament de dades 676 $a621.3848 676 $a621.38485 702 $aRysz$b Maciej 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910645892803321 996 $aSynthetic Aperture Radar (SAR) Data Applications$93091243 997 $aUNINA