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基于GF-5 AHSI高光谱影像的岩性填图应用研究 会议论文
作者:  叶蓓;  田淑芳;  成秋明;  葛云钊
收藏  |  浏览/下载：15/0  |  提交时间：2021/12/01
GF-5 AHSI影像  岩性填图  SASI影像  深度学习  M3D-DCNN  
Hyperspectral vegetation identification utilizing polynomial fitting for dimensionality reduction 会议论文
会议名称: Conference on Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXI held at SPIE Defense + Commercial Sensing Conference. 会议地点: ELECTR NETWORK. 会议日期: APR 27-MAY 08, 2020
作者:  van der Laan, John D.;  Redman, Brian J.;  Anderson, Dylan Z.;  West, R. Derek;  Yocky, David
收藏  |  浏览/下载：4/0  |  提交时间：2021/01/08
hyperspectral imagery  underground nuclear explosions  unmanned aerial systems  vegetation  classification  
Investigating temporal distributions for spectral anomaly detection through time 会议论文
会议名称: Conference on Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXVI. 会议地点: ELECTR NETWORK. 会议日期: APR 27-MAY 08, 2020
作者:  Simonoko, Hope;  Ziemann, Amanda;  Flynn, Eric
收藏  |  浏览/下载：5/0  |  提交时间：2021/01/08
Multispectral  Anomaly Detection  RX  Temporal RX  
Assessment of MODIS and VIIRS Calibration Consistency for Reflective Solar Bands Calibration Using Vicarious Approaches 会议论文
会议名称: Conference on Sensors, Systems, and Next-Generation Satellites XXIV. 会议地点: ELECTR NETWORK. 会议日期: SEP 21-25, 2020
作者:  Wu, A.;  Mu, Q.;  Angal, A.;  Xiong, X.
收藏  |  浏览/下载：3/0  |  提交时间：2021/08/05
MODIS  VIIRS  calibration  reflective solar bands  reflectance  vicarious  
Application and Research of Hyperspectral Data in Ground Environment Situation Assessment 会议论文
会议名称: 5th Symposium on Novel Optoelectronic Detection Technology and Application. 会议地点: Xian, PEOPLES R CHINA. 会议日期: OCT 24-26, 2018
作者:  Ma Wen;  Zhang Tong;  Dong Chunhong
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/09
Multi-source remote sensing  hyperspectral data  environmental situation  quantitative evaluation model  land desertification  
Geo-Leo intercalibration to evaluate the radiometric performance of NOAA-20 VIIRS and GOES-16 ABI 会议论文
会议名称: Conference on Earth Observing Systems XXIV. 会议地点: San Diego, CA. 会议日期: AUG 11-15, 2019
作者:  Uprety, Sirish;  Cao, Changyong;  Shao, Xi
收藏  |  浏览/下载：2/0  |  提交时间：2021/11/30
VIIRS and ABI consistency  NOAA-20 VIIRS calibration  VIIRS RSB bias  double differencing  
Hyperspectral vegetation identification at a legacy underground nuclear explosion test site 会议论文
会议名称: 20th Conference on Chemical Biological, Radiological, Nuclear and Explosives (CBRNE) Sensing held at SPIE Defense + Commercial Sensing Conference. 会议地点: Baltimore, MD. 会议日期: APR 15-17, 2019
作者:  Redman, Brian J.;  van der Laan, John D.;  Anderson, Dylan Z.;  Craven, Julia M.;  Miller, Elizabeth D.;  Collins, Adam D.;  Swanson, Erika M.;  Schultz-Fellenz, Emily S.
收藏  |  浏览/下载：4/0  |  提交时间：2021/11/30
hyperspectral imagery  underground nuclear explosions  unmanned aerial systems  vegetation  classification  
Application and Research of Hyperspectral Data in Ground Environment Situation Assessment 会议论文
会议名称: 5th Symposium on Novel Optoelectronic Detection Technology and Application. 会议地点: Xian, PEOPLES R CHINA. 会议日期: OCT 24-26, 2018
作者:  Ma Wen;  Zhang Tong;  Dong Chunhong
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/09
Multi-source remote sensing  hyperspectral data  environmental situation  quantitative evaluation model  land desertification  
HUGE OIL SPILL IN THE DESERT: FAKE NEWS OR REALITY? THE REMOTE SENSING PERSPECTIVE 会议论文
会议名称: IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 会议地点: Yokohama, JAPAN. 会议日期: JUL 28-AUG 02, 2019
作者:  Dubucq, D.
收藏  |  浏览/下载：4/0  |  提交时间：2021/11/30
Oil spill  monitoring  multispectral  thermal infrared  
Hyperspectral remote sensing for mapping and detection of Egyptian kaolin quality 会议论文
会议名称: 16th International Clay Conference (ICC). 会议地点: Granada, SPAIN. 会议日期: JUL 17-21, 2017
作者:  Awad, Mahmoud E.;  Amer, Reda;  Lopez-Galindo, Alberto;  El-Rahmany, Mahmoud M.;  Garcia del Moral, Luis F.;  Viseras, Cesar
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/09
Egypt  Abu Zenima  Kaolin  Hyperspectral parameters  Hyperion image  Structural order-disorder