USGS Spectral Library Version 7

By R. Kokaly, R. Clark, G. Swayze, K. Livo, T. Hoefen, N. Pearson, R. A. Wise, W. M. Benzel, H. Lowers, R. Driscoll and 1 more. 2017

327 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Environmental Engineering, Media Technology

View Paper: https://www.semanticscholar.org/paper/796574f6bd8a96bd27b6f5f0ba434a8748b429af

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Luca Congedo

Citations in the corpus

• Semi-Automatic Classification Plugin: A Python tool for the download and processing of remote sensing images in QGIS (2021, background): “Considering that semi-automatic classification algorithms require training pixels (i.e. spectral signatures), a specific dock interface for training input creation and spectral signature calculation is available, which allows to create polygons interactively (manually or through region growing) and ”