基于Convnext的SAR船只检测与多聚合通道注意力和特征强化金字塔网络
1College of Computer and Information Engineering, Nanjing Tech University, Nanjing 211816, China.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
本研究引入了一种改进的卷积神经网络 (CNN) 方法,用于合成孔径雷达 (SAR) 船舶检测. 新方法增强了特征表示和注意力机制,大大提高了小型船舶的检测精度.
科学领域:
- 遥感 遥感 遥感 遥感
- 计算机视觉 计算机视觉
- 人工智能的人工智能
背景情况:
- 卷积神经网络 (CNN) 已经推进了合成孔径雷达 (SAR) 船舶检测.
- 现有的算法在多级特征生成,假警报抑制和增强浅特征语义方面面临局限性.
- 由于频道减少,顶级特征图中的语义信息减弱会影响检测性能.
研究的目的:
- 为了解决当前SAR船只检测算法的局限性.
- 为了提高SAR图像中船舶检测的准确性和稳定性.
- 为了提高对小型船舶的检测,减少虚假报警.
主要方法:
- 利用Convnext作为高质量的多尺度特征地图生成的支柱.
- 引入多聚合通道注意 (MPCA) 来抑制虚假报警并优化功能地图.
- 开发了特征强化金字塔网络 (FIPN) 和顶级特征强化 (TLFI),以增强特征图中的语义信息.
主要成果:
- 拟议的方法在SAR船舶检测数据集 (SSDD) 上表现出卓越的性能.
- 在SSDD上实现了95.6%的整体平均精度 (AP).
- 与现有的先进方法相比,精度至少提高了1.7%.
结论:
- 这种新的方法有效地克服了现有的SAR船只检测技术的局限性.
- Convnext,MPCA,FIPN和TLFI的组合显著提高了检测准确性和可靠性.
- 该方法显示出在海上监视方面有很大的实际应用潜力.
相关概念视频
01:27Uniform Depth Channel Flow
95
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
95
01:18Uniform Depth Channel Flow: Problem Solving
85
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
85
01:30Classification of Signals
519
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...
519
01:10Detection of Black Holes
2.2K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.2K
01:22Force Classification
1.3K
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,...
1.3K
01:20Deconvolution
186
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
186