Suchergebnisse - "Stacking ensemble learning algorithm"

A Remote Sensing Detection Method for Ceracris Kiangsu Tsai in Moso Bamboo Forests Integrating SMOTE Algorithm and Multi-Model Ensemble

Autoren: Na Qin Zhanghua Xu Wensen Yu et al.

Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 25005-25023 (2025)

Schlagwörter: Interpretability, pest detection, responsiveness, stacking ensemble learning algorithm, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11174951/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

Zugangs-URL: https://doaj.org/article/7c571942eced47c9ac964c4c4ade1ebd

Effects of Multi-Growth Periods UAV Images on Classifying Karst Wetland Vegetation Communities Using Object-Based Optimization Stacking Algorithm

Autoren: Ya Zhang Bolin Fu Xidong Sun et al.

Quelle: Remote Sensing, Vol 15, Iss 4003, p 4003 (2023)

Schlagwörter: karst wetland, vegetation communities’ classification, multi-growth periods, stacking ensemble learning algorithm, SHAP Visual Analysis, UAV imagery, Science

Relation: https://www.mdpi.com/2072-4292/15/16/4003; https://doaj.org/toc/2072-4292; https://doaj.org/article/e95bedb5c62e4acca1337ee62eaa95d3

Verfügbarkeit: https://doi.org/10.3390/rs15164003
https://doaj.org/article/e95bedb5c62e4acca1337ee62eaa95d3

Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images

Autoren: Bolin Fu Xu He Hang Yao et al.

Quelle: International Journal of Applied Earth Observations and Geoinformation, Vol 112, Iss , Pp 102890- (2022)

Schlagwörter: Mangrove species, UAV multispectral images, Image segmentation and feature selection, Stacking ensemble learning algorithm, DeeplabV3+ and PSPNet algorithm, Physical geography, GB3-5030, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1569843222000929; https://doaj.org/toc/1569-8432

Zugangs-URL: https://doaj.org/article/d31c32a91b3047ed9ad3466550481b51

Combination of Hyperspectral and Quad-Polarization SAR Images to Classify Marsh Vegetation Using Stacking Ensemble Learning Algorithm

Autoren: Hang Yao Bolin Fu Ya Zhang et al.

Quelle: Remote Sensing, Vol 14, Iss 5478, p 5478 (2022)

Schlagwörter: marsh vegetation classification, hyperspectral and quad-polarization SAR images, polarimetric decomposition, stacking ensemble learning algorithm, GF-3, ALOS-2, Science

Relation: https://www.mdpi.com/2072-4292/14/21/5478; https://doaj.org/toc/2072-4292; https://doaj.org/article/30995eae722d4ab6b1d7bf25d5e6b642

Verfügbarkeit: https://doi.org/10.3390/rs14215478
https://doaj.org/article/30995eae722d4ab6b1d7bf25d5e6b642