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中国地质大学科学技术发展院李显巨，陈伟涛等. 计算机学院, Remote Sensing(2019), Multimodal and Multi-Model Deep Fusion for Fine Classification of Regional Complex Landscape Areas Using ZiYuan-3 Imagery
在地质环境遥感智能解译领域的研究工作取得重要进展
2021/10/18
近日，中国地质大学计算机学院陈伟涛副教授团队在地质环境遥感智能解译领域的研究工作取得重要进展。相关研究成果发表在国际著名期刊《Remote Sensing》。论文第一作者为李显巨副教授，通讯作者为陈伟涛副教授。
SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL REMOTE SENSING IMAGES USING VARIATIONAL AUTOENCODER AND CONVOLUTION NEURAL NETWORK
Hyperspectral classification feature extraction spectral channels deep learning
2019/2/28
In this paper, we propose a spectral-spatial feature extraction framework based on deep learning (DL) for hyperspectral image (HSI) classification. In this framework, the variational autoencoder (VAE)...
ALEXNET FEATURE EXTRACTION AND MULTI-KERNEL LEARNING FOR OBJECTORIENTED CLASSIFICATION
AlexNet GLCM texture Multi-kernel learning Object-oriented classification feature extraction SVM
2018/5/11
In view of the fact that the deep convolutional neural network has stronger ability of feature learning and feature expression, an exploratory research is done on feature extraction and classification...
EIGENENTROPY BASED CONVOLUTIONAL NEURAL NETWORK BASED ALS POINT CLOUDS CLASSIFICATION METHOD
EIGENENTROPY CONVOLUTIONAL NEURAL NETWORK ALS POINT CLOUDS CLASSIFICATION METHOD
2018/5/16
The classification of point clouds is the first step in the extraction of various types of geo-information form point clouds. Recently the ISPRS WG II/4 provides a benchmark on 3D semantic labelling, ...
中国地质大学科学技术发展院文广（博士生），李建威等资源学院 Geochimica et Cosmochimica Acta, 2017. Hydrothermal reequilibration of igneous magnetite in altered granitic plutons and its implications for magnetite classification schemes: Insights from theHandan-Xingtai iron district, North China
李建威
2021/10/21
近日，中国地质大学资源学院和地质过程与矿产资源国家重点实验室李建威教授团队在国际地球化学顶级期刊发表题为《Hydrothermal reequilibration of igneous magnetite in altered granitic plutons and its implications formagnetite classification schemes: Insights fr...
EXTRACTION AND CLASSIFICATION OF WETLAND FEATURES THROUGH FUSION OF REMOTE SENSING IMAGES IN THE OKAVANGO DELTA, BOTSWANA
Remote sensing land cover classification extraction fusion multisensor multiresolution
2015/7/29
The Okavango delta in northwestern Botswana is an extremely complex and dynamic wetland ecosystem. The spatial information on
diverse wetland features of the delta is needed for hydrological modeling...
A SYSTEM OF CODIFICATION FOR UNNAMED MINERALS:REPORT OF THE SUBCOMMITTEE FOR UNNAMED MINERALS OF THE IMA COMMISSION ON NEW MINERALS, NOMENCLATURE AND CLASSIFICATION
unnamed minerals International Mineralogical Association Commission on New Minerals Nomenclature and Classification
2013/12/6
A system of codifi cation that includes the year of publication and qualitative chemical composition has been developed for unnamed minerals reported in the literature. Such minerals are divided into ...
The Study of the Classification System for Travel Rubbish
Classification Travel Rubbish Treatment
2011/12/15
Improper waste disposal will affect the travel experience of tourists , endanger human health. This paper demonstrats the definition of travel rubbish,the system of source classification, the classifi...
Opals: characterization, nomenclature definition and proposal of a new varieties classification following the discovery of new materials in Peru
nomenclature definition new materials Peru varieties classification
2011/11/8
This work has been carried out on a vast amount of samples (more than 500). In this summary I will concentrate on some of the analytical methods used on the characterization of 25 out of the Andean co...
Origin and Classification of Coastal Plain Kaolins, Southeastern USA, and the Role of Groundwater and Microbial Action
Bauxite Origin Kaolin Classification Kaolin Origin Microbial Weathering Weathering
2011/12/9
Abstract: Along the inner Coastal Plain, kaolinite-metahalloysite-rich, neritic muds of Cretaceous-Eocene age have undergone intense postdepositional alteration in the recharge area of the regional gr...
Polytypism of Micas. II. Classification and Abundance of MDO Polytypes
Classification Homomorphy Maximum degree of order Mica Order-disorder Polytype
2012/2/6
The maximum-degree-of-order (MDO) polytypes in all three mica families have been classified into two subfamilies and five homomorphous MDO groups according to their superposition structure and the YZ ...
In the past ten years the structures of bikitaite, chabazite, dachiardite, erionite, faujasite, gismondine, gmelinite,harmotome, levyne, mordenite, phillipsite and Linde A have been determined. In add...