找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Hurricane Monitoring With Spaceborne Synthetic Aperture Radar; Xiaofeng Li Book 2017 Springer Nature Singapore Pte Ltd. 2017 Synthetic ape

[復(fù)制鏈接]
41#
發(fā)表于 2025-3-28 15:49:03 | 只看該作者
42#
發(fā)表于 2025-3-28 21:53:58 | 只看該作者
Tropical Cyclone Multiscale Wind Features from Spaceborne Synthetic Aperture Radar,mesovotices, spiral rainbands, fine-scale-band features, arc clouds, and boundary layer rolls are documented. Although these wind features are strongly tied to tropical cyclone dynamics and intensity based on previous numerical studies, they are not well-observed due to high rainfall and cloudiness
43#
發(fā)表于 2025-3-28 23:58:23 | 只看該作者
44#
發(fā)表于 2025-3-29 05:39:06 | 只看該作者
Tropical Cyclone Wind Field Reconstruction from SAR and Analytical Model,onship between the near surface winds and the normalized radar backscatter cross section. However, existing GMFs will saturate under tropical cyclone conditions, and cause huge wind retrieval errors. This study develops an approach to estimate tropical cyclone parameters and wind fields based on an
45#
發(fā)表于 2025-3-29 10:42:26 | 只看該作者
46#
發(fā)表于 2025-3-29 15:24:59 | 只看該作者
Observation of Sea Surface Wind and Wave in X-Band TerraSAR-X and TanDEM-X Over Hurricane Sandy,n sea, which are presented in this chapter to demonstrate observations of sea surface wind and wave extracted from X-band ScanSAR image with high spatial resolution of 17?m in the hurricane. In the case of the TerraSAR-X image acquired on October 26, 2012, we analyze the peak wave direction and leng
47#
發(fā)表于 2025-3-29 16:05:31 | 只看該作者
48#
發(fā)表于 2025-3-29 22:30:20 | 只看該作者
Tropical Cyclone Center Location in SAR Images Based on Feature Learning and Visual Saliency, has been used as an important tool for tropical cyclone monitoring. The accuracy of locating tropical cyclone centers has a large impact on the accuracy of tropical cyclone track prediction. This study focuses on the center location of tropical cyclones in the SAR images. Based on the analysis of t
49#
發(fā)表于 2025-3-30 01:25:47 | 只看該作者
50#
發(fā)表于 2025-3-30 06:35:49 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 20:16
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
新沂市| 赞皇县| 岳阳市| 双鸭山市| 苏尼特右旗| 施甸县| 牙克石市| 深泽县| 张家界市| 江北区| 景德镇市| 涟水县| 阿拉尔市| 洛浦县| 开平市| 平湖市| 临漳县| 邢台县| 孝感市| 宁武县| 凤庆县| 福泉市| 滨海县| 南充市| 阿拉善盟| 垫江县| 家居| 宜章县| 渝中区| 顺义区| 绥棱县| 花垣县| 桂平市| 谢通门县| 邓州市| 广安市| 视频| 梁河县| 乐至县| 金沙县| 临泽县|