3 Artículos

Fine Crop Classification Based on UAV Hyperspectral Images and Random Forest

Acceso

en línea

Zhihua Wang, Zhan Zhao and Chenglong Yin

The classification of unmanned aerial vehicle hyperspectral images is of great significance in agricultural monitoring. This paper studied a fine classification method for crops based on feature transform combined with random forest (RF). Aiming at the p... ver más

Revista: ISPRS International Journal of Geo-Information Formato: Electrónico

Tabla de contenido: Vol: 11 Num: 0 Par: 4 Año: 2022

Paradigm of Geological Mapping of the Adiyaman Fault Zone of Eastern Turkey Using Landsat 8 Remotely Sensed Data Coupled with PCA, ICA, and MNFA Techniques

Acceso

en línea

Abdelrahman Khalifa, Bashar Bashir, Ziyadin Çakir, Sinasi Kaya, Abdullah Alsalman and Ahmed Henaish

A principal and independent component analysis (PCA and ICA) and a minimum noise fraction analysis (MNFA) were applied in this study to Landsat 8 Operational Land Imager (OLI) images along the Adiyaman fault zone in Eastern Turkey. These analyses indicat... ver más

Revista: ISPRS International Journal of Geo-Information Formato: Electrónico

Tabla de contenido: Vol: 10 Num: 0 Par: 6 Año: 2021

Comparison of Independent Component Analysis, Principal Component Analysis, and Minimum Noise Fraction Transformation for Tree Species Classification Using APEX Hyperspectral Imagery

Acceso

en línea

Zahra Dabiri and Stefan Lang

Revista: ISPRS International Journal of Geo-Information Formato: Electrónico

Tabla de contenido: Vol: 7 Num: 12 Par: December Año: 2018

« Anterior Página: 1 de 1 Siguiente »