Application of artificial neural networks in geoinformatics / / Saro Lee, editor.

• TeilnehmendeR: Lee, Saro,
• Place / Publishing House: Basel : : MDPI AG - Multidisciplinary Digital Publishing Institute,, [2018]; ©2018
• Year of Publication: 2018
• Language: English
• Physical Description: 1 online resource (228 pages) :; illustrations

Recently, a need has arisen for prediction techniques that can address a variety of problems by combining methods from the rapidly developing field of machine learning with geoinformation technologies such as GIS, remote sensing, and GPS. As a result, over the last few decades, one particular machin...

Table of Contents

• About the Special Issue Editor v
• Saro Lee
• Editorial for Special Issue: Application of Artificial Neural Networks in Geoinformatics doi: 10.3390/app8010055 1
• Sunmin Lee, Moung-Jin Lee and Hyung-Sup Jung Data Mining Approaches for Landslide Susceptibility Mapping in Umyeonsan, Seoul, South Korea doi: 10.3390/app7070683 4 Hyun-Joo Oh and Saro Lee
• Shallow Landslide Susceptibility Modeling Using the Data Mining Models Artificial Neural Network and Boosted Tree doi: 10.3390/app7101000 25
• Saro Lee, Sunmin Lee, Wonkyong Song and Moung-Jin Lee
• Habitat Potential Mapping of Marten (Martes flavigula) and Leopard Cat (Prionailurus bengalensis) in South Korea Using Artificial Neural Network Machine Learning doi: 10.3390/app7090912 39
• Syyed Adnan Raheel Shah, Tom Brijs, Naveed Ahmad, Ali Pirdavani, Yongjun Shen and Muhammad Aamir Basheer
• Road Safety Risk Evaluation Using GIS-Based Data Envelopment Analysis-Artificial Neural Networks Approach doi: 10.3390/app7090886 54
• Mustafa Ridha Mezaal, Biswajeet Pradhan, Maher Ibrahim Sameen, Helmi Zulhaidi Mohd Shafri and Zainuddin Md Yusoff
• Optimized Neural Architecture for Automatic Landslide Detection from High-Resolution Airborne Laser Scanning Data doi: 10.3390/app7070730 73
• Guandong Chen, Yu Li, Guangmin Sun and Yuanzhi Zhang
• Application of Deep Networks to Oil Spill Detection Using Polarimetric Synthetic Aperture Radar Images doi: 10.3390/app7100968 93
• Jeong-In Hwang, Sung-Ho Chae, Daeseong Kim and Hyung-Sup Jung
• Application of Artificial Neural Networks to Ship Detection from X-Band Kompsat5 Imagery doi: 10.3390/app7090961 108
• Alessandro Piscini, Vito Romaniello, Christian Bignami and Salvatore Stramondo A New Damage Assessment Method by Means of Neural Network and Multi-Sensor
• Satellite Data doi: 10.3390/app7080781 122 Books MDPI
• Prima Riza Kadavi, Won-Jin Lee and Chang-Wook Lee Analysis of the Pyroclastic Flow Deposits of Mount Sinabung and Merapi Using Landsat
• Imagery and the Artificial Neural Networks Approach doi: 10.3390/app7090935 132
• Soo-Kyung Kwon, Hyung-Sup Jung, Won-Kyung Baek and Daeseong Kim
• Classification of Forest Vertical Structure in South Korea from Aerial Orthophoto and Lidar Data Using an Artificial Neural Network doi: 10.3390/app7101046 146
• Giles M. Foody Impacts of Sample Design for Validation Data on the Accuracy of Feedforward Neural
• Network Classification doi: 10.3390/app7090888-- Young-Ji Byon, Jun Su Ha, Chung-Suk Cho, Tae-Yeon Kim and Chan Yeob Yeun
• Real-Time Transportation Mode Identification Using Artificial Neural Networks Enhanced with Mode Availability Layers: A Case Study in Dubai doi: 10.3390/app7090923 174
• Maher Ibrahim Sameen and Biswajeet Pradhan
• Severity Prediction of Traffic Accidents with Recurrent Neural Networks doi: 10.3390/app7060476 191
• N ´adia F. Afonso and Jos´e C. M. Pires
• Characterization of Surface Ozone Behavior at Different Regimes doi: 10.3390/app7090944 208.