搜索结果: 1-9 共查到“农学 hyperspectral”相关记录9条 . 查询时间(0.078 秒)
Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China
Water resources Remote sensing Total nitrogen Hyperspectral imagery Machine learning Bootstrap
2023/12/19
In arid and semi-arid regions, water-quality problems are crucial to local social demand and human well-being. However, the conventional remote sensing-based direct detection of water quality paramete...
Revealing the Structure and Composition of the Restored Vegetation Cover in Semi-Arid Mine Dumps Based on LiDAR and Hyperspectral Images
ecological restoration hierarchical classification vegetation structure LiDAR vegetation species
2023/12/1
Remotely sensed images with low resolution can be effectively used for the large-area monitoring of vegetation restoration, but are unsuitable for accurate small-area monitoring. This limits researche...
Combining Different Transformations of Ground Hyperspectral Data with Unmanned Aerial Vehicle (UAV) Images for Anthocyanin Estimation in Tree Peony Leaves
hyperspectral tree peony anthocyanin (Anth) unmanned aerial vehicle (UAV)
2023/11/30
To explore rapid anthocyanin (Anth) detection technology based on remote sensing (RS) in tree peony leaves, we considered 30 species of tree peonies located in Shaanxi Province, China. We used an SVC ...
A Hybrid Classification of Imbalanced Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest
hyperspectral image imbalanced data oversampling adaptive synthetic sampling tree-based classifier subsampling deep multi-grained cascade forest
2023/11/29
Hyperspectral image (HSI) analysis generally suffers from issues such as high dimensionality, imbalanced sample sets for different classes, and the choice of classifiers for artificially balanced data...
Classification of Toona Sinensis Young Leaves Using Machine Learning And UAV-Borne Hyperspectral Imagery
Classification Toona Sinensis Young Leaves
2023/6/2
Rapid and accurate distinction between young and old leaves of Toona sinensis in the wild is of great significance to the selection of T. sinensis varieties and the evaluation of relative yield. In th...
Identification of weeds based on hyperspectral imaging and machine learning
weeds hyperspectral imaging machine learning
2023/6/5
Weeds can be major environmental and economic burdens in New Zealand. Traditional methods of weed control include manual and chemical approaches can be time consuming and costly. Some chemical herbici...
Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data
tree species mapping tropical biodiversity imaging spectroscopy photogrammetry support vector machine
2024/2/4
The use of remote sensing data for tree species classification in tropical forests is still a challenging task, due to their high floristic and spectral diversity. In this sense, novel sensors on boar...
The use of hyperspectral remote sensing for mapping the age composition of forest stands
age classification forestry hyperspectral object oriented segmentation spruce
2015/4/14
The paper deals with the issue of mapping the age composition of stand groups using hyperspectral imagery acquired by the AISA Eagle VNIR sensor in the Bíly Kříž locality in the Moravian-Sil...
APPLICATION OF AIRBORNE HYPERSPECTRAL AND THERMAL IMAGES TO ANALYSE URBAN MICROCLIMATE
urban climate hyperspectral remote sensing thermal images red-edge urban vegetation
2010/3/24
Urbanisation is a long standing problem and phenomenon all around the world. It means more
and more challenges for scientists. Remote sensing techniques with high spectral and spatial resolution open...