Suchergebnisse - "DeeplabV3+ AND PSPNet algorithm*"

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

基于 U-Net 的粮仓储粮高度定量检测方法. (Chinese)

Alternate Title: Quantitative Detection Method of Grain Storage Height in Grain Silos Based on U‑Net. (English)

Autoren: 任飞燕 张 蕙 李 智 et al.

Quelle: Journal of Henan Agricultural Sciences; 2024, Vol. 53 Issue 11, p156-163, 8p

Schlagwörter: GRAIN storage, TECHNOLOGICAL innovations, HEIGHT measurement, CUSTOMER clubs, VENTILATION

Research on the segmentation of individual trees and the extraction of structural parameters in eucalyptus plantations based on a TEMA mask R-CNN model.

Autoren: Huang, Runlian Ding, Jirong Ren, Zhaotong et al.

Quelle: Journal of Forest Research; Aug2025, Vol. 30 Issue 4, p316-327, 12p

大型城市苫盖绿网监测工作体系构建与应用. (Chinese)

Alternate Title: Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities. (English)

Autoren: 孙扬 高大伟 姜浩野 et al.

Quelle: Landscape Architecture (1673-1530); 2025, Vol. 32 Issue 3, p82-89, 8p

Schlagwörter: REMOTE-sensing images, SUSTAINABLE construction, DEEP learning, SUSTAINABLE development, HUMAN-computer interaction

Study on a Landslide Segmentation Algorithm Based on Improved High-Resolution Networks.

Autoren: Sun, Hui Yang, Shuguang Wang, Rui et al.

Quelle: Applied Sciences (2076-3417); Aug2024, Vol. 14 Issue 15, p6459, 15p

Schlagwörter: IMAGE intensifiers, NETWORK performance, LANDSLIDES, PYRAMIDS, SPINE, DEEP learning

MRISNet:Deep-learning-based Martian instance segmentation against blur.

Autoren: Liu, Meng Liu, Jin Ma, Xin

Quelle: Earth Science Informatics; Mar2023, Vol. 16 Issue 1, p965-981, 17p

Schlagwörter: DEEP learning, GENERATIVE adversarial networks, OBJECT recognition (Computer vision), MARTIAN exploration, MARS rovers

Evaluation of Decision Fusions for Classifying Karst Wetland Vegetation Using One-Class and Multi-Class CNN Models with High-Resolution UAV Images.

Autoren: Li, Yuyang Deng, Tengfang Fu, Bolin et al.

Quelle: Remote Sensing; Nov2022, Vol. 14 Issue 22, p5869, 33p

Schlagwörter: KARST, WETLANDS, VEGETATION classification, CONVOLUTIONAL neural networks, VEGETATION mapping, EAST Indian lotus

Geografische Kategorien: GUILIN (Guangxi Zhuangzu Zizhiqu, China)