Classification

Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data

Soil texture is important for many environmental processes. In this paper, we study the classification of soil texture based on hyperspectral data. We develop and implement three 1-dimensional (1D) convolutional neural networks (CNN): the LucasCNN, …

Satellite Computer Vision mit Keras und Tensorflow - Best Practices und Beispiele aus der Forschung

Im Forschungsfeld des Maschinellen Lernens werden zunehmend leicht zugängliche Framework wie Keras, Tensorflow oder Pytorch verwendet. Hierdurch ist ein Austausch und die Wiederverwendung bestehender (trainierter) neuronaler Netze möglich. --- Wir am …

SUSI: Supervised Self-Organizing Maps for Regression and Classification in Python

In many research fields, the sizes of the existing datasets vary widely. Hence, there is a need for machine learning techniques which are well-suited for these different datasets. One possible technique is the self-organizing map (SOM), a type of …

Examples for CNN training and classification on Sentinel-2 data

Overview about state-of-the-art land-use classification from satellite data with CNNs based on an open dataset.

Satellite data is for everyone: insights into modern remote sensing research with open data and Python

The largest earth observation programme Copernicus (http://copernicus.eu) makes it possible to perform terrestrial observations providing data for all kinds of purposes. One important objective is to monitor the land-use and land-cover changes with …