多分支和多标签树种的分类使用深度学习用于无人机空中摄影和哨兵遥感图像
Tianyi Qin1, Qingjian Zhao2,3
1College of Economics and Management, Nanjing Forestry University, Nanjing, 210037, China.
Scientific reports
|September 24, 2025
概括
一个新的深度学习模型 (MMTSC) 从遥感数据准确地分类森林树种,改进了物种多样性研究和森林监测. 这种方法提高了生物质估计,并支持可持续的森林管理.
科学领域:
- 林业科学 林业科学
- 遥感是一种远程传感.
- 计算机视觉 计算机视觉 计算机视觉
- 机器学习 机器学习
背景情况:
- 准确的森林树种类分类对于生物多样性评估和森林管理至关重要.
- 遥感与深度学习相结合,为多标签图像分类提供了强大的方法.
- 现有的挑战包括微妙的物种间视觉差异,数据稀缺以及标签困难.
研究的目的:
- 开发和评估一个多分支,多标签的图像分类模型 (MMTSC) 用于识别15种树种使用遥感数据.
- 解决树木物种识别中微小的物种间差异和数据不平衡的挑战.
- 根据最先进的方法评估模型的性能,并探索最佳的骨干架构.
主要方法:
- 提出了一种针对多源遥感数据量身定制的多分支和多标签图像分类模型 (MMTSC).
- 利用TreeSatAI数据集对15种不同的树种进行训练和评估模型.
- 使用最先进的方法和废弃研究进行了比较实验,包括骨干网络比较 (DenseNet121,EfficientNet-B0等). ) 的情况.
主要成果:
- 在复杂,不平衡的森林场景中,MMTSC模型实现了高性能指标 (F1-Score~72%,精度~82%).
- 在F1-Score,精度,回忆和mAP方面,MMTSC的表现优于其他最先进的方法.
- DenseNet121 作为这项特定树种分类任务的骨干网络,表现出卓越的性能.
结论:
- 开发的MMTSC模型为从遥感图像中进行多标签树种分类提供了有效的解决方案.
- 该模型在具有挑战性的条件下取得的成功凸显了其用于准确森林监测和生物多样性研究的潜力.
- 分类结果可用于生物质估计,为科学森林资源管理和碳封存倡议做出贡献.
相关概念视频
01:28Methods of Classification and Identification
1.0K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
1.0K
01:22Force Classification
2.3K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.3K
01:26Classification of Systems-I
552
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
552
01:31Classification of Systems-II
458
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
458