使用STFF-PSPNet进行增强的遥感图像功能分类
Haiying Li1,2, Jiaqi Gao3, Yang Liu4
1National Forestry and Grassland Engineering Technology Research Center for Harvesting Equipment of Non-wood Forest Fruits, Central South University of Forestry and Technology, Changsha, 410004, China.
Scientific reports
|July 29, 2025
概括
这项研究通过改进PSPNet模型来解决数据不平衡和质量问题,从而增强遥感图像的语义细分. 改进的模型在城市规划和变化检测任务中实现了卓越的性能.
科学领域:
- 地球和太空科学 地球和太空科学
- 计算机科学 计算机科学
背景情况:
- 遥感图像的语义细分对于城市规划和变化检测至关重要.
- 挑战包括样本不平衡和数据质量低,阻碍准确的分类.
研究的目的:
- 改进PSPNet模型,以改善遥感图像的语义细分.
- 解决样本不平衡,提高数据质量,以提高分类准确度.
主要方法:
- 编译了一个GF-2图像数据集,并调整了类样本权重,以优先考虑少数阶级.
- 实施数据增强以提高数据集质量.
- 用STFF网络取代ResNet,以增强全球特征提取,并纳入注意模块和组合损失函数.
主要成果:
- 实现了平均准确度 (mAcc) 的90.32%,平均交叉超过欧盟 (mIoU) 的76.04%,和一个子系数的85.15%.
- 与其他车型相比,表现出卓越的性能.
- 在公共数据集上展示了强大的概括能力.
结论:
- 精细的PSPNet模型有效地减轻了样本不平衡,并提高了语义细分的数据质量.
- 该模型为远程传感图像处理应用提供了有价值的见解和改进的性能.
相关概念视频
01:37Super-resolution Fluorescence Microscopy
7.7K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
7.7K
01:22Force Classification
1.6K
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,...
1.6K
01:26Classification of Systems-I
312
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:
312
01:31Classification of Systems-II
242
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,
242
01:30Classification of Signals
896
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
896