Thomas Blaschke

Object based image analysis for remote sensing

Geographic Object-Based Image Analysis – Towards a new paradigm

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms

What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS

A multi-scale segmentation/object relationship modelling methodology for landscape analysis

Automated classification of landform elements using object-based image analysis

Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications

Understanding and quantifying landscape structure – A review on relevant process characteristics, data models and landscape metrics

A comparison of three image-object methods for the multiscale analysis of landscape structure

Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory

A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping