LOW DATA REQUIREMENTS FRAMEWORK for LANDSLIDE SUSCEPTIBILITY PREDICTION USING 3D ALOS PALSAR IMAGES and NEURAL NETWORKS

被引：0
|
作者：
Dept. of Computer Engineering, Karabuk University, Demir Celik Campus, Karabuk [1 ]
78050, Turkey
机构：
来源：
Int. Arch. Photogramm., Remote Sens. Spat. Inf. Sci. - ISPRS Arch. | / 4/W16卷 / 47-54期
关键词：
723.2 Data Processing and Image Processing;
D O I：
6th International Conference on Geomatics and Geospatial Technology, GGT 2019
中图分类号：
学科分类号：
摘要：
Neural networks
引用
收藏
相关论文
共 50 条
  • [41] 3D Brain Tumor Segmentation and Survival Prediction Using Ensembles of Convolutional Neural Networks
    Gonzalez, S. Rosas
    Zemmoura, I.
    Tauber, C.
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES (BRAINLES 2020), PT II, 2021, 12659 : 241 - 254
  • [42] End-to-end Prediction of Driver Intention using 3D Convolutional Neural Networks
    Gebert, Patrick
    Roitberg, Alina
    Haurilet, Monica
    Stiefelhagen, Rainer
    2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19), 2019, : 969 - 974
  • [43] Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks
    Fathallah, Mohamed
    Eletriby, Sherif
    Alsabaan, Maazen
    Ibrahem, Mohamed I.
    Farok, Gamal
    SENSORS, 2024, 24 (19)
  • [44] 3D porosity prediction from seismic inversion and neural networks
    Leite, Emilson Pereira
    Vidal, Alexandre Campane
    COMPUTERS & GEOSCIENCES, 2011, 37 (08) : 1174 - 1180
  • [45] Landslide susceptibility mapping using geological data, a DEM from ASTER images and an Artificial Neural Network (ANN)
    Kawabata, Daisaku
    Bandibas, Joel
    GEOMORPHOLOGY, 2009, 113 (1-2) : 97 - 109
  • [46] Platform Prototype for the Prediction of Landslide Susceptibility Through a 4D WebGIS Equipped with Cellular Automata and Neural Networks
    Barrile, Vincenzo
    Cotroneo, Francesco
    Genovese, Emanuela
    GEOMATICS FOR ENVIRONMENTAL MONITORING: FROM DATA TO SERVICES, ASITA 2023, 2024, 2088 : 81 - 95
  • [47] Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks
    Paul-Louis Pröve
    Eilin Jopp-van Well
    Ben Stanczus
    Michael M. Morlock
    Jochen Herrmann
    Michael Groth
    Dennis Säring
    Markus Auf der Mauer
    International Journal of Legal Medicine, 2019, 133 : 1191 - 1205
  • [48] Fitting a Deformable 3D Human Body Model to Depth Images using Convolutional Neural Networks
    Zeitvogel, Samuel
    Laubenheimer, Astrid
    2016 12TH IEEE INTERNATIONAL SYMPOSIUM ON ELECTRONICS AND TELECOMMUNICATIONS (ISETC'16), 2016, : 321 - 326
  • [49] Lung Nodule Diagnosis on 3D Computed Tomography Images Using Deep Convolutional Neural Networks
    Zhang, Qianqian
    Wang, Haifeng
    Yoon, Sang Won
    Won, Daehan
    Srihari, Krishnaswami
    25TH INTERNATIONAL CONFERENCE ON PRODUCTION RESEARCH MANUFACTURING INNOVATION: CYBER PHYSICAL MANUFACTURING, 2019, 39 : 363 - 370
  • [50] Red blood cell phenotyping from 3D confocal images using artificial neural networks
    Simionato, Greta
    Hinkelmann, Konrad
    Chachanidze, Revaz
    Bianchi, Paola
    Fermo, Elisa
    van Wijk, Richard
    Leonetti, Marc
    Wagner, Christian
    Kaestner, Lars
    Quint, Stephan
    PLOS COMPUTATIONAL BIOLOGY, 2021, 17 (05)
12345