Worldview 2 波段组合

本文介绍了Worldview2传感器的独特之处及其多种应用组合,包括植被监测、阴影区分、水泥区分等,并提供了各应用场景下的波段组合建议。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

Last week I wrote up a cheat sheet for transitioning from Landsat 7 to Landsat 8 that went into the band specifications and listed some common band compositions. Due to popular demand, I’m going to do something similar for Worldview 2. If you’re not familiar with this sensor, it’s unique in that it has a coastal blue band, a yellow band, a red-edge band and two near infrareds. I’ll be honest; I was unfamiliar with Worldview 2, so I had to do a little research into it. There are not a whole lot of papers out there, but using this white paper from Digital Globe as a guide, I was able to develop and test some composites that utilize these bands that you don’t see very often on other sensors.

Feature R G B
Vegetation NIR2 Yellow Coastal
Shadow NIR2 Red Edge Yellow
Cement NIR2 Yellow Blue
Sedimenation Red Yellow Coastal
Mud flats Red Edge Yellow Coastal
Red roofs Red Yellow Green
Water depth Yellow Green Coastal

This is by no means an exhaustive list of what you can use these bands for. Please post suggestions/criticisms in the comments. From what I gather, there’s a lack of information out there regarding this sensor and its applications. Here are screen shots from the composites I came up with.

false color composite

Vegetation Composite (left). NIR2 | Yellow | Coastal. Higher levels of vegetation correlate with deeper reds. I thought this did a pretty good job from low to high levels of vegetation. A traditional False Color Composite (NIR1 | Red | Green) is shown on the right. Dubrovnik, Croatia.

shadow composite

Shadow Composite. NIR2 | Red Edge | Yellow. There are a few options here, incorporating both a NIR band and the red-edge band, plus any other visible band. This combination seemed to make the shadows pop out more. Dubrovnik, Croatia.

cement composite

Cement Composite. NIR2 | Yellow | Blue. There are a few options here. I chose this one because there’s a greater distinction with what’s on the cement (i.e. painted stripes and cars) than what I saw in the other potential composites. Dubrovnik, Croatia.

red roof composite

Red Roof Composite. Red | Yellow | Green. Dubrovnik, Croatia.

water depth composite

Water Depth Composite. Green | Blue | Coastal. Dubrovnik, Croatia.

mud flat composite

Mud Flat Composite. Red Edge | Yellow | Coastal. You heard it here first. This is the Al Khor Wildlife Reserve in Dubai. The green areas are mudflats used by flamingos for breeding and feeding. You can see the channels that cut through the flats well.

sedimentation composite

内容概要:本文档详细介绍了基于事件触发扩展状态观测器(ESO)的分布式非线性车辆队列控制系统的实现。该系统由N+1辆车组成(1个领头车和N个跟随车),每辆车具有非线性动力学模型,考虑了空气阻力、滚动阻力等非线性因素及参数不确定性和外部扰动。通过事件触发ESO估计总扰动,基于动态面控制方法设计分布式控制律,并引入事件触发机制以减少通信和计算负担。系统还包含仿真主循环、结果可视化等功能模块。该实现严格遵循论文所述方法,验证了观测误差有界性、间距误差收敛性等核心结论。 适合人群:具备一定编程基础,对非线性系统控制、事件触发机制、扩展状态观测器等有一定了解的研发人员和研究人员。 使用场景及目标:①研究分布式非线性车辆队列控制系统的理论与实现;②理解事件触发机制如何减少通信和计算负担;③掌握扩展状态观测器在非线性系统中的应用;④学习动态面控制方法的设计与实现。 其他说明:本文档不仅提供了详细的代码实现,还对每个模块进行了深入解析,包括非线性建模优势、ESO核心优势、动态面控制与传统反步法对比、事件触发机制优化等方面。此外,文档还实现了论文中的稳定性分析,通过数值仿真验证了论文的核心结论,确保了系统的稳定性和有效性。建议读者在学习过程中结合代码进行实践,并关注各个模块之间的联系与相互作用。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值