Index for kope

Kopec, A.[Anna] * 2019: Estimation of Tropospheric and Ionospheric Delay in DInSAR Calculations: Case Study of Areas Showing (Natural and Induced) Seismic Activity
* 2021: Induced Seismic Events: Distribution of Ground Surface Displacements Based on InSAR Methods and Mogi and Yang Models
* 2022: Mapping Ice Flow Velocity of Tidewater Glaciers in Hornsund Fiord Area with the Use of Autonomous Repeat Image Feature Tracking (2018-2022)

Kopec, D.[Dominik] * 2019: Analysis of Using Dense Image Matching Techniques to Study the Process of Secondary Succession in Non-Forest Natura 2000 Habitats
* 2019: Mapping Succession in Non-Forest Habitats by Means of Remote Sensing: Is the Data Acquisition Time Critical for Species Discrimination?
* 2019: Multiple Flights or Single Flight Instrument Fusion of Hyperspectral and ALS Data? A Comparison of their Performance for Vegetation Mapping
* 2019: Multitemporal Hyperspectral Data Fusion with Topographic Indices: Improving Classification of Natura 2000 Grassland Habitats
* 2019: t-SNE Algorithm as a Tool to Improve the Quality of Reference Data Used in Accurate Mapping of Heterogeneous Non-Forest Vegetation, The
* 2021: Intra-Annual Variabilities of Rubus caesius L. Discrimination on Hyperspectral and LiDAR Data
* 2021: Mapping Alkaline Fens, Transition Mires and Quaking Bogs Using Airborne Hyperspectral and Laser Scanning Data
* 2022: Hyperspectral vs. Multispectral data: Comparison of the spectral differentiation capabilities of Natura 2000 non-forest habitats
* 2023: Natura 2000 Grassland Habitats Mapping Based on Spectro-Temporal Dimension of Sentinel-2 Images with Machine Learning
* 2023: Testing Textural Information Base on LiDAR and Hyperspectral Data for Mapping Wetland Vegetation: A Case Study of Warta River Mouth National Park (Poland)
10 for Kopec, D.

Kopec, G.E. * 1993: Automatic Generation of Custom Document Image Decoders
* 1993: Least-squares font metric estimation from images
* 1994: Document image decoding
* 1994: Document Image Decoding Using Markov Source Models
* 1995: Separable Source Models for Document Image Decoding
* 1996: Document image Decoding Approach to Character Template Estimation
* 1996: Document Image Decoding by Heuristic Search
* 1996: Document Image Decoding in the Berkeley Digital Library
* 1996: Document Image Decoding in the Berkeley Digital Library Project
* 1996: Document Specific Character Template Estimation
* 1996: Markov Source Model for Printed Music Decoding
* 1997: Multilevel Character Templates for Document Image Decoding
* 1997: Supervised Template Estimation for Document Image Decoding
Includes: Kopec, G.E. Kopec, G.E.[Gary E.]
13 for Kopec, G.E.

Kopec, J.[Jakob] * 2018: Multi-Objective Optimisation Based Planning of Power-Line Grid Expansions

Kopecka, M.[Monika] * 2019: Review of the Application of Remote Sensing Data for Abandoned Agricultural Land Identification with Focus on Central and Eastern Europe, A
Includes: Kopecka, M.[Monika] Kopecká, M.[Monika]

Kopecky, K.L.[Kai L.] * 2023: Quantifying the Loss of Coral from a Bleaching Event Using Underwater Photogrammetry and AI-Assisted Image Segmentation

Kopecz, J. * 1995: Neural Architecture for Visual Information-Processing, A

Kopecz, K. * 1997: Contour segmentation with recurrent neural networks of pulse-coding neurons

Kopeika, N.S. * 1994: Restoration of images degraded by mechanical vibrations
* 1997: Analytical Method to Calculate Optical Transfer-Functions for Image Motion and Vibrations Using Moments
* 1997: Identification of Blur Parameters from Motion Blurred Images
* 1997: Restoration of Atmospherically Blurred Images According to Weather Predicted Atmospheric Modulation Transfer Functions
* 1998: Direct Method for Restoration of Motion Blurred Images
* 1998: Experimental Comparison of 3 Target Acquisition Models
* 1998: Relative Effects of Distortion and Noise on Target Acquisition: The Advisability of Image Restoration
* 1999: Motion-Distorted Composite-Frame Restoration
* 2001: Mixed-Signal Architecture for Real-Time Two-Dimensional Live TV Image Restoration
* 2004: Landsat TM Satellite Image Restoration Using Kalman Filters
Includes: Kopeika, N.S. Kopeika, N.S.[Norman S.]
10 for Kopeika, N.S.

Kopeinig, R.[Rene] * 2014: MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data
* 2016: MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data

Kopel, D. * 2017: Remote Sensing Techniques To Assess Post-fire Effects at the Hillslope and Sub-Basin Scales Via Multi-scale Model

Kopelevich, O.[Oleg] * 2020: Evaluation of the CDOM Absorption Coefficient in the Arctic Seas Based on Sentinel-3 OLCI Data

Kopeliovich, M. * 2019: Architectural Tricks for Deep Learning in Remote Photoplethysmography
* 2020: On indirect assessment of heart rate in video
* 2020: Remote Photoplethysmography: Rarely Considered Factors

Kopell, D.[Dan] * 2006: Using Stationary-Dynamic Camera Assemblies for Wide-area Video Surveillance and Selective Attention

Kopenkov, V.N.[Vasiliy N.] * 2010: Research the Performance of a Recursive Algorithm of the Local Discrete Wavelet Transform

Kopernicky, D. * 2011: 3D Virtual Reconstructions of Minoan Rural Sites: The Case Of Livari Cheromylia

Koperski, K. * 2005: Learning Bayesian Classifiers for Scene Classification With a Visual Grammar
* 2009: Land Cover Classification with Multi-Sensor Fusion of Partly Missing Data
* 2018: DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
* 2020: Simple and effective cloud- and shadow-detection algorithms for Landsat and Worldview images
* 2022: ArithFusion: An Arithmetic Deep Model for Temporal Remote Sensing Image Fusion
Includes: Koperski, K. Koperski, K.[Krzysztof] Koperski, K.[Krysztof]

Koperski, M.[Michal] * 2014: 3D trajectories for action recognition
* 2014: Representing visual appearance by video Brownian covariance descriptor for human action recognition
* 2015: Minimizing hallucination in histogram of Oriented Gradients
* 2016: hybrid framework for online recognition of activities of daily living in real-world settings, A
* 2016: Modeling spatial layout of features for real world scenario RGB-D action recognition
* 2016: Semi-supervised understanding of complex activities from temporal concepts
* 2017: Action recognition based on a mixture of RGB and depth based skeleton
* 2019: New Hybrid Architecture for Human Activity Recognition from RGB-D Videos, A
* 2019: Toyota Smarthome: Real-World Activities of Daily Living
* 2020: Plugin Networks for Inference under Partial Evidence
Includes: Koperski, M.[Michal] Koperski, M.
10 for Koperski, M.

Index for "k"


Last update: 2-May-24 21:08:06
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