使用基于形态活性轮模型和单个合成孔径雷达图像的数据效率高的无监督框架进行了改进的大规模洪水映射.
Rasheeda Soudagar1, Arnab Chowdhury1, Alok Bhardwaj1
1Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
Journal of environmental management
|March 13, 2025
概括
一个新的无监督计算机视觉框架使用形态Chan-Vese主动轮模型 (Morph CV ACM) 准确地绘制来自合成孔径雷达 (SAR) 图像的洪水范围. 该方法改进了现有技术,为洪水损害评估和管理提供了更高的准确性.
科学领域:
- 水文和远程传感技术
- 计算机视觉和图像处理
- 环境监测 环境监测
背景情况:
- 洪水是重要的水文极端事件,造成了广泛的环境破坏.
- 合成孔径雷达 (SAR) 衍生的洪水地图对于损害评估和管理至关重要.
- 现有的SAR洪水映射通常依赖于监督的方法,在数据概括,标记和模型可转移性方面面临挑战.
研究的目的:
- 开发一个无监督的计算机视觉框架,使用单时SAR图像准确地绘制洪水范围.
- 解决监督SAR洪水绘图的局限性,特别是在数据要求和模型可转移性方面.
- 提高洪水绘图的准确性和效率,以改善灾害管理.
主要方法:
- 提出了一个无监督的框架,利用形态Chan-Vese主动轮模型 (Morph CV ACM) 与单时SAR图像.
- 对集群和分散的洪水模式的模型参数进行了灵敏度分析.
- 开发了一个本地化的Morph CV ACM版本,基于经验公式进行自适应参数调整.
主要成果:
- 拟议的框架在绘制北印度洪水范围时获得了高F1得分0.935.
- 在检测洪水范围方面,与Otsu细分方法相比显著改进.
- 在建筑和农业地区展示了更高的绘图准确性,这对于损害评估至关重要.
结论:
- 新型无监督的Morph CV ACM框架提供了基于SAR数据的准确和有弹性的洪水范围映射.
- 该框架的自动化和最小的数据要求促进了近乎实时的大规模洪水映射.
- 这种方法为改善洪水损害评估和为有效的洪水管理策略提供了有价值的工具.
相关概念视频
Applications of GIS: Disaster Management and Emergency Response
30
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
30
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
35
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
35
Manipulation and Analysis
17
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
17
Super-resolution Fluorescence Microscopy
6.8K
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...
6.8K
Methods of Obtaining Topography
40
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
40
Rapidly Varying Flow
43
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
43


