TU4.P5.2
Combining Superpixel segmentation and Random Forest for Lithological Classification using Advanced Hyperspectral Imager (AHSI) Imagery Onboard Gaofen-5B (GF-5B) Satellite
Weijie Jia, Siwei Feng, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China; Huize Xu, YX smart data technology, China; Ling Chen, Yu Bian, Qinghua Yang, China Aero Geophysical Survey and Remote Sensing Center for Natural, China
Session:
TU4.P5: Applications of Hyperspectral Data for Critical Metals Exploration II Oral
Track:
Community-Contributed Sessions
Location:
Room P5
Presentation Time:
Tuesday, 5 August, 16:00 - 16:15
Session Co-Chairs:
Jo Miles, CSIRO and Heta Lampinen, CSIRO
Presentation
Discussion
Resources
No resources available.
Session TU4.P5
TU4.P5.1: COMBINED HYPERSPECTRAL VSWIR AND MULTISPECTRAL TIR DATA FOR MINERAL EXPLORATION: NASA/ASI FUTURE SBG MISSION
Michael Abrams, Jet Propulsion Laboratory, United States; Yasushi Yamaguchi, Nagoya, Japan
TU4.P5.2: Combining Superpixel segmentation and Random Forest for Lithological Classification using Advanced Hyperspectral Imager (AHSI) Imagery Onboard Gaofen-5B (GF-5B) Satellite
Weijie Jia, Siwei Feng, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China; Huize Xu, YX smart data technology, China; Ling Chen, Yu Bian, Qinghua Yang, China Aero Geophysical Survey and Remote Sensing Center for Natural, China
TU4.P5.3: MAPPING LITHIUM BEARING HECTORITE USING ORBITAL AND AIRBORNE IMAGING SPECTROSCOPY
John M Meyer, Raymond F. Kokaly, A. Rae Ann Orkild-Norton, USGS, United States; Erica L. Key, Catherine E. Wesoloski, California Geological Survey, United States; Gregg A. Swayze, Lisa L. Stillings, Todd M. Hoefen, Evan Cox, USGS, United States
TU4.P5.4: Mapping minerals across the Pilbara Craton using geoscience-tuned satellite hyperspectral imagery
Carsten Laukamp, Morgan Williams, Amy Jo Miles, Heta Maria Lampinen, Fang Huang, Ian Christian Lau, CSIRO, Australia
TU4.P5.5: Hyperspectral exploration for Li-pegmatites in Angola: Partial Least Squares Regression (PLSR) modelling
Heta M. Lampinen, Ryan Manton, Mario Iglesias-Martinez, A. Jo Miles, Monica LeGras, Commonwealth Scientific and Industrial Research Organisation, Australia
Resources
No resources available.