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Integration of concentration-area fractal model and relative absorption band depth method for mapping hydrothermal alterations using ASTER data 期刊论文
发表期刊: REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT. 出版年: 2021, 卷号: 23
作者:  Masoumi, Mehdi;  Honarmand, Mehdi;  Salimi, Amir
收藏  |  浏览/下载:10/0  |  提交时间:2021/11/19
RBD  C-A fractal model  spectral analysis  hydrothermal alteration mapping  
Desertification Detection Using an Improved Variational Autoencoder-Based Approach Through ETM-Landsat Satellite Data 期刊论文
发表期刊: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 出版年: 2021, 卷号: 14, 页码: 202-213
作者:  Zerrouki, Yacine;  Harrou, Fouzi;  Zerrouki, Nabil;  Dairi, Abdelkader;  Sun, Ying
收藏  |  浏览/下载:3/0  |  提交时间:2021/03/08
Remote sensing  Feature extraction  Deep learning  Earth  Artificial satellites  Vegetation mapping  Indexes  Desertification detection  feature extraction  Landsat sensors  variational autoencoder (VAE) classification  
Desert bighorn sheep (Ovis canadensis) recognition from camera traps based on learned features 期刊论文
发表期刊: ECOLOGICAL INFORMATICS. 出版年: 2021, 卷号: 64
作者:  Vargas-Felipe, Manuel;  Pellegrin, Luis;  Guevara-Carrizales, Aldo A.;  Lopez-Monroy, A. Pastor;  Escalante, Hugo Jair;  Gonzalez-Fraga, Jose A.
收藏  |  浏览/下载:3/0  |  提交时间:2021/11/19
Desert bighorn sheep  Deep learning  Convolutional neural networks  Image classification  Species recognition  Monitoring  Camera traps  
An improved approach to estimate above-ground volume and biomass of desert shrub communities based on UAV RGB images 期刊论文
发表期刊: ECOLOGICAL INDICATORS. 出版年: 2021, 卷号: 125
作者:  Mao, Peng;  Qin, Longjun;  Hao, Mengyu;  Zhao, Wenli;  Luo, Jiechunyi;  Qiu, Xu;  Xu, Lijie;  Xiong, Yujiu;  Ran, Yili;  Yan, Chunhua;  Qiu, Guo Yu
收藏  |  浏览/下载:13/0  |  提交时间:2021/07/30
Above-ground biomass (AGB)  Above-ground volume (AGV)  Unmanned aerial vehicle (UAV)  Spectral indices  Textural metrics  Structural metrics  Desert shrub  
近30年莫索湾垦区150团植被覆盖度时空变化及现状评价 期刊论文
发表期刊: 云南大学学报. 自然科学版. 出版年: 2021, 卷号: 43, 期号: 2, 页码: 412-420
作者:  尚白军;  朱家龙;  周智彬;  宋春武;  吴书普
收藏  |  浏览/下载:12/0  |  提交时间:2021/08/05
vegetation coverage  binary image model  planting density  Mosuowan  
利用无人机多光谱影像数据构建棉苗株数估算模型 期刊论文
发表期刊: 中国图象图形学报. 出版年: 2020, 卷号: 25, 期号: 3
作者:  郑晓岚;  张显峰;  程俊毅;  任翔
收藏  |  浏览/下载:28/0  |  提交时间:2021/08/05
unmanned aerial vehicles (UAV)  multispectral remote sensing  support vector regression (SVR)  cotton seedling plant number  growth levels  Shihezi City  
Deep Learning Based Binary Classification for Alzheimer's Disease Detection using Brain MRI Images 会议论文
会议名称: 15th IEEE Conference on Industrial Electronics and Applications (ICIEA). 会议地点: ELECTR NETWORK. 会议日期: NOV 09-13, 2020
作者:  Hussain, Emtiaz;  Hasan, Mahmudul;  Hassan, Syed Zafrul;  Azmi, Tanzina Hassan;  Rahman, Md Anisur;  Parvez, Mohammad Zavid
收藏  |  浏览/下载:3/0  |  提交时间:2021/08/05
Alzheimer  Machine Learning  Deep Learning  CNN  MRI  OASIS-1  Confusion Matrix  Accuracy  ROC Curve  
Quad-PolSAR data classification using modified random forest algorithms to map halophytic plants in arid areas 期刊论文
发表期刊: INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION. 出版年: 2018, 卷号: 73, 页码: 503-521
作者:  Samat, Alim;  Gamba, Paolo;  Liu, Sicong;  Miao, Zelang;  Li, Erzhu;  Abuduwaili, Jilili
收藏  |  浏览/下载:20/0  |  提交时间:2019/11/29
Polarization signature  Random M5 model forest  Classification via random forest regression  Halophytic plants  ALOS-2  PolSAR image classification  
Natural Scene Classification Using Deep Learning 会议论文
会议名称: 3rd International Conference on Computing, Communication, Control and Automation (ICCUBEA). 会议地点: Pune, INDIA. 会议日期: AUG 17-18, 2017
作者:  Rout, Aparna R.;  Bagal, Sahebrao B.
收藏  |  浏览/下载:1/0  |  提交时间:2019/12/09
Supervised  Multilabel  Deep learning  machine learning  Binary Relevance Method Introduction  
Natural Scene Classification Using Deep Learning 会议论文
会议名称: 3rd International Conference on Computing, Communication, Control and Automation (ICCUBEA). 会议地点: Pune, INDIA. 会议日期: AUG 17-18, 2017
作者:  Rout, Aparna R.;  Bagal, Sahebrao B.
收藏  |  浏览/下载:1/0  |  提交时间:2019/12/09
Supervised  Multilabel  Deep learning  machine learning  Binary Relevance Method Introduction