Generative Adversarial Networks Based Multi-Sensor Remote Sensing Image Translation for Disaster Damage Mapping
基于生成对抗网络的多传感器遥感图像翻译用于灾害损失测绘
基本信息
- 批准号:19K20308
- 负责人:
- 金额:$ 2.66万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Early-Career Scientists
- 财政年份:2019
- 资助国家:日本
- 起止时间:2019-04-01 至 2022-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Our purpose is to predict the post-disaster optical image with landslide details, from the input of pre-disaster SAR-optical image pairs and post-disaster SAR image. Previous deep learning based methods can recover the optical image in good visual, unfortunately with the landslides disappeared. To reconstruct physically meaningful details, I calculate a weight matrix of post-disaster SAR image to measure the importance of each pixel, and utilize the weight matrix to guild the reconstruction of optical image. Until now, I have finished the dataset preparation, and on the basis of the dataset, I developped the multi-temporal SARoptical method. On the basis of the related works, we also developped several image quality improvement methods for remote sensing image denoising, resotration, and reconstruction. Firstly, we try to reconstruct the hypersepctral image from the low-spatial-resolution hyperspectral image and low-spectral-resolution multispectral image. Secondly, we try to reconstruct the hyperspectral image from color image and the measurements via computational camera. The related publications include 1 paper accepted by Pattern Recognition, 1 paper accpepted by IEEE transactions on image processing.
我们的目的是预测灾后的光学图像与滑坡细节,从灾前SAR光学图像对和灾后SAR图像的输入。以前基于深度学习的方法可以恢复视觉效果良好的光学图像,不幸的是随着山体滑坡的消失而消失。为了重建具有物理意义的细节,计算灾后SAR图像的权值矩阵来衡量每个像素的重要性,并利用权值矩阵来指导光学图像的重建。到目前为止,我已经完成了数据集的准备工作,并在此基础上发展了多时相SAR光学方法。 在相关工作的基础上,我们还发展了几种遥感图像去噪、分辨率和重建的图像质量改善方法。首先,我们尝试从低空间分辨率的高光谱图像和低光谱分辨率的多光谱图像重建高光谱图像。其次,我们尝试从彩色图像和测量通过计算相机的高光谱图像重建。相关论文包括1篇被模式识别杂志录用,1篇被IEEE图像处理杂志录用。
项目成果
期刊论文数量(12)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Blind cloud and cloud shadow removal of multitemporal images based on total variation regularized low-rank sparsity decomposition
基于全变差正则低秩稀疏分解的多时相图像盲云和云影去除
- DOI:10.1016/j.isprsjprs.2019.09.003
- 发表时间:2019
- 期刊:
- 影响因子:12.7
- 作者:Y. Chen;W. He;N. Yokoya;and T.-Z. Huang
- 通讯作者:and T.-Z. Huang
Total-variation-regularized Tensor Ring Completion for Remote Sensing Image Reconstruction
- DOI:10.1109/icassp.2019.8682696
- 发表时间:2019-05
- 期刊:
- 影响因子:0
- 作者:Wei He;Longhao Yuan;N. Yokoya
- 通讯作者:Wei He;Longhao Yuan;N. Yokoya
Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping
- DOI:10.1109/tgrs.2020.3035469
- 发表时间:2022
- 期刊:
- 影响因子:8.2
- 作者:N. Yokoya;Kazuki Yamanoi;Wei He;Gerald Baier;B. Adriano;H. Miura;S. Oishi
- 通讯作者:N. Yokoya;Kazuki Yamanoi;Wei He;Gerald Baier;B. Adriano;H. Miura;S. Oishi
Illumination Invariant Hyperspectral Image Unmixing Based on a Digital Surface Model
- DOI:10.1109/tip.2020.2963961
- 发表时间:2020-01
- 期刊:
- 影响因子:10.6
- 作者:Tatsumi Uezato;N. Yokoya;Wei He
- 通讯作者:Tatsumi Uezato;N. Yokoya;Wei He
Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing
- DOI:10.1109/mgrs.2021.3064051
- 发表时间:2021-06-01
- 期刊:
- 影响因子:14.6
- 作者:Hong, Danfeng;He, Wei;Zhu, Xiaoxiang
- 通讯作者:Zhu, Xiaoxiang
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He Wei其他文献
Magnesium-Doped Li-1.2[Co0.13Ni0.13Mn0.54]O-2 for Lithium-Ion Battery Cathode with Enhanced Cycling Stability and Rate Capability
用于锂离子电池正极的镁掺杂Li-1.2[Co0.13Ni0.13Mn0.54]O-2具有增强的循环稳定性和倍率性能
- DOI:
10.1021/acsami.5b03125 - 发表时间:
2015 - 期刊:
- 影响因子:9.5
- 作者:
Wang Yan X.;Shang Ke H.;He Wei;Ai Xin P.;Cao Yu L.;Yang Han X. - 通讯作者:
Yang Han X.
Studies of chitosan/Kollicoat SR 30D film-coated tablets for colonic drug delivery
- DOI:
10.1016/j.ijpharm.2009.03.023 - 发表时间:
2009-06-22 - 期刊:
- 影响因子:5.8
- 作者:
Fan Li-Fang;He Wei;Cao De-Ying - 通讯作者:
Cao De-Ying
Dynamic magnetostrictive properties of magnetization-graded ferromagnetic material and application in magnetoelectric composite
磁化梯度铁磁材料的动态磁致伸缩特性及其在磁电复合材料中的应用
- DOI:
10.1063/1.4866089 - 发表时间:
2014-02 - 期刊:
- 影响因子:3.2
- 作者:
Lu Caijiang;Li Ping;Wen Yumei;Yang Aichao;Yang Chao;Yang Jin;He Wei;Zhang Jitao;Li Wenli - 通讯作者:
Li Wenli
Enhancement of meniscal repair in the avascular zone using connective tissue growth factor in a rabbit model
- DOI:
10.3760/cma.j.issn.0366-6999.2011.23.023 - 发表时间:
2011-12-05 - 期刊:
- 影响因子:6.1
- 作者:
He Wei;Liu Yu-jie;Wang Ning - 通讯作者:
Wang Ning
Stem Blight of Blueberry Caused by Lasiodiplodia vaccinii sp. nov. in China
由越橘毛二孢菌引起的蓝莓茎枯病。
- DOI:
10.1094/pdis-01-19-0079-re - 发表时间:
2019 - 期刊:
- 影响因子:4.5
- 作者:
Zhao Lin;Wang Yu;He Wei;Zhang Ying - 通讯作者:
Zhang Ying
He Wei的其他文献
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