[HTML][HTML] Object-based wetland vegetation classification using multi-feature selection of unoccupied aerial vehicle RGB imagery
R Zhou, C Yang, E Li, X Cai, J Yang, Y Xia - Remote Sensing, 2021 - mdpi.com
Wetland vegetation is an important component of wetland ecosystems and plays a crucial
role in the ecological functions of wetland environments. Accurate distribution mapping and …
role in the ecological functions of wetland environments. Accurate distribution mapping and …
[HTML][HTML] Urban Vegetation Classification for Unmanned Aerial Vehicle Remote Sensing Combining Feature Engineering and Improved DeepLabV3+
Q Cao, M Li, G Yang, Q Tao, Y Luo, R Wang, P Chen - Forests, 2024 - mdpi.com
Addressing the problems of misclassification and omissions in urban vegetation fine
classification from current remote sensing classification methods, this research proposes an …
classification from current remote sensing classification methods, this research proposes an …
[PDF][PDF] 基于无人机影像的城市植被精细分类
林怡， 张文豪， 宇洁， 张翰超 - 中国环境科学, 2022 - zghjkx.com.cn
针对传统植被资源调查方法工作量大, 成本高, 效率低的问题, 利用高分辨率无人机遥感影像,
联合地物光谱-纹理-空间信息, 构建了一种适用于描述城市不同植被种类的多维特征空间 …
联合地物光谱-纹理-空间信息, 构建了一种适用于描述城市不同植被种类的多维特征空间 …
[HTML][HTML] 基于无人机可见光及多光谱数据的林草覆盖率提取方法研究
赵莹， 王光辉， 任建锋， 杜文贞， 邱浩 - 中国水土保持科学, 2023 - xml-data.org
为了高效, 准确地监测生产建设项目林草覆盖率指标, 在山东省东营市建立典型样区,
采用无人机搭载相同光谱分辨率的可见光和多光谱相机分别获取可见光, 多光谱影像, 建立16 …
采用无人机搭载相同光谱分辨率的可见光和多光谱相机分别获取可见光, 多光谱影像, 建立16 …
AN INVESTIGATION OF THE EFFECTIVENESS OF RGB VEGETATION INDICES USING IMAGE THRESHODLING AND UAV-BASED IMGAERIES
Z Huanyang - 2023 - rave.ohiolink.edu
Abstract Unmanned Aerial Vehicles (UAVs) have been a popular tool for close-range remote
sensing of vegetation for the past decade. They are often equipped with multispectral …
sensing of vegetation for the past decade. They are often equipped with multispectral …