scholarly journals Retraction Note: Investigation of remote sensing image and big data analytic for urban garden landscape design and environmental planning

2021 ◽  
Vol 14 (24) ◽  
Author(s):  
Min Wang
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
Environmental Planning ◽  
Remote Sensing Image ◽  
Landscape Design ◽  
Urban Garden ◽  
Data Analytic

scholarly journals A MANAGEMENT OF REMOTE SENSING BIG DATA BASE ON STANDARD METADATA FILE AND DATABASE MANAGEMENT SYSTEM

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 653-657
Author(s):  
H. Wu ◽  
K. Fu
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
Management System ◽  
Database Management ◽  
High Capacity ◽  
Remote Sensing Data ◽  
Large Data ◽  
Remote Sensing Image ◽  
Database Management System ◽  
Metadata Standard

Abstract. As a kind of information carrier which is high capacity, remarkable reliability, easy to obtain and the other features，remote sensing image data is widely used in the fields of natural resources survey, monitoring, planning, disaster prevention and the others (Huang, Jie, et al, 2008). Considering about the daily application scenario for the remote sensing image in professional departments, the demand of usage and management of remote sensing big data is about to be analysed in this paper.In this paper, by combining professional department scenario, the application of remote sensing image analysis of remote sensing data in the use and management of professional department requirements, on the premise of respect the habits, is put forward to remote sensing image metadata standard for reference index, based on remote sensing image files and database management system, large data serialization of time management methods, the method to the realization of the design the metadata standard products, as well as to the standard of metadata content indexed storage of massive remote sensing image database management.

scholarly journals Big Data Classification of Remote Sensing Image Based on Cloud Computing and Convolutional Neural Network

2021 ◽  
Author(s):  
Xiaobo Wu
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Cloud Computing ◽  
Big Data ◽  
Convolutional Neural Network ◽  
Image Classification ◽  
Remote Sensing Image ◽  
Classification Method ◽  
Remote Sensing Image Classification ◽  
Big Data Classification

Abstract In recent years, with the continuous development of cloud computing and big data technology, information technology is penetrating all corners of enterprise development at a speed that ordinary people cannot imagine. Today's remote sensing image classification plays an important role in many applications. This article is based on cloud computing and convolutional neural network to study the remote sensing image big data classification. This article takes cloud computing technology and convolutional neural network technology as the technical points. First, it introduces cloud computing technology in more detail from the basic concepts, characteristics and classification of cloud computing, and then compares traditional methods from the selection of feature extraction methods and classifiers. The remote sensing image classification method is described, and finally the convolutional neural network model that needs to be applied in this research is explained. In the experiment, the features extracted by multiple pre-training networks are fused. Through the study of the three feature fusion methods, it is found that the classification accuracy rate has been further improved on the three data sets. The experimental results in this paper show that the remote sensing image big data classification method based on cloud computing and convolutional neural network has more than a little improvement in accuracy than the traditional remote sensing image classification method, and the accuracy rate has reached 86.3%.

scholarly journals A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data

2021 ◽  
Vol 33 (6) ◽  
pp. 1-20
Author(s):  
Hui Lu ◽  
Qi Liu ◽  
Xiaodong Liu ◽  
Yonghong Zhang
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
Rapid Development ◽  
Remote Sensing Data ◽  
Semantic Segmentation ◽  
Remote Sensing Image ◽  
Semantic Knowledge ◽  
Learning Technology ◽  
Semantic Classification ◽  
Sensing Data

With the rapid development of satellite technology, remote sensing data has entered the era of big data, and the intelligent processing of remote sensing image has been paid more and more attention. Through the semantic research of remote sensing data, the processing ability of remote sensing data is greatly improved. This paper aims to introduce and analyze the research and application progress of remote sensing image satellite data processing from the perspective of semantic. Firstly, it introduces the characteristics and semantic knowledge of remote sensing big data; Secondly, the semantic concept, semantic construction and application fields are introduced in detail; then, for remote sensing big data, the technical progress in the study field of semantic construction is analyzed from four aspects: semantic description and understanding, semantic segmentation, semantic classification and semantic search, focusing on deep learning technology; Finally, the problems and challenges in the four aspects are discussed in detail, in order to find more directions to explore.

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