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Article | 11-January-2021

Conditional GAN-based Remote Sensing Target Image Generation Method

I. INTRODUCTION In recent years, due to the advancement and maturity of satellite remote sensing technology, target detection based on deep neural network methods [1-2] has played a more significant role in the search and rescue of sea ships and the detection and recognition of sea ship types [3-6]. However, an accurate and generalized remote sensing target detection algorithm needs to be trained on the largest possible data set. However, in reality, the cost of acquiring a large number of

Haoyang Liu, Zhiyi Hu, Jun Yu, Shouyi Gao

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 4, 66–74

Research Article | 27-December-2017

AN ARTIFICIAL IMMUNE NETWORK CLUSTERING ALGORITHM FOR MANGROVES REMOTE SENSING IMAGE

Because of not needing training samples and performing the classification just according to the inherent similarity of data in the multidimensional space, unsupervised classification method now gets more and more attention by remote sensing data analyst. Duo to the special growth environment of mangroves, field measurements is difficult to be done to obtain training samples. Therefore unsupervised method provides a good adjunct way for the classification of mangroves remote sensing image. This

Yanmin LUO, Peizhong LIU, Minghong LIAO

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 1, 116–134

Article | 01-December-2012

ANALYSIS OF LAND USE CHANGE CHARACTERISTICS BASED ON REMOTE SENSING AND GIS IN THE JIUXIANG RIVER WATERSHED

Based on remote sensing and GIS technology, the remote sensing images from 2003 to 2009 were used to the basic data sources, to analyze the characteristics of land-use change in Jiuxiang River watershed. Results showed that watershed land use structure were changed greatly from 2003 to 2009; the proportion of arable land decreased from 34.86% to 19.52%, whereas other types of land use increased. The area of construction land increased most rapidly, from 17.80% to 25.80%.Spatial differentiations

He-Bing Hu, Hong-Yu Liu, Jing-Feng Hao, Jing An

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 4, 811–823

Article | 23-April-2018

Research on A Quantitative Assessment Model Based on Visual Perception in Low-Altitude Remote Sensing

In order to evaluate the recovery effect of the visible light band in the low-altitude remote sensing, the sensitivity and significance of the visual perception of the restored image are selected and optimized by the perceptual characteristics of the human visual system. Finally, the effective detail retention ability, Structure information, multi - scale similarity and visual fidelity. A kind of image - based image fog quantification evaluation model QAMVP is proposed based on visual

Jianqiang Lu, Weixing Wang, Kexin Chen, Bing Jiang

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 166–170

Research Article | 13-December-2017

A Coarse-to-Fine Approach for Remote-Sensing Image Registration Based on a Local Method

Multispectral satellite imagery registration is a fundamental step for remote sensing applications such as global change detection, feature classification, and image fusion. Since image registration via the manual selection of control points is a repetitive and time-intensive task, a more efficient automatic coarse-to-fine algorithm for multispectral remote sensing image registration is proposed in this paper. First, for the coarse registration, the Haar Wavelet Transform (HWT) is adopted to

Sang Rok Lee

International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 4, 690–702

Article | 01-December-2015

PREDICTION AND ANALYSIS OF URBAN HEAT ISLAND EFFECT IN DANGSHAN BY REMOTE SENSING

Gang Fang

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2195–2211

Research Article | 12-December-2017

THE USE OF OPTICAL SENSORS TO ESTIMATE PASTURE QUALITY

Optical remote sensing tools are being used in a number of agricultural applications by recording an object's transmission of electromagnetic energy from reflecting and radiating surfaces. This unique spectral information is used to characterize the features of green vegetation. With the development of proximal sensing tools, vegetation or crop health can be determined and monitored in real-time. This information provides an opportunity for precise management of input resources to optimise

R.R. Pullanagari, I. Yule, W. King, D. Dalley, R. Dynes

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 1, 125–137

Article | 30-November-2018

Assessment of a Non-Optical Water Quality Property Using Space-based Imagery in Egyptian Coastal Lake

. However, such tasks require comprehensive data collection with adequate temporal and spatial coverage. Remote sensing is an advancing field that has the potential in reducing field work difficulties, and increasingly considered an essential planning tool. A. Remote Sensing-based Water Quality Retrieval Several studies in literature have addressed retrieval of water quality parameters using remote sensing techniques. Significant correlations have been found between specific water quality parameters

Hala O. Abayazid, Ahmed El-Adawy

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 3, 53–64

research-article | 06-November-2020

Plant health evaluations of Belonolaimus longicaudatus and Meloidogyne incognita colonized bermudagrass using remote sensing

RedEdge Index) collected using a MicaSense Rededge-M (MicaSense, Inc.; Seattle, WA) sensor. Discussion Evaluating remote sensing technology for its ability to improve turfgrass management is very important, and the potential uses for UAS in the turfgrass industry are widespread. This study confirmed previous reports of the correlation between both NDVI and NDRE and turfgrass quality (Bell et al., 2009; Caturegli et al., 2016; Hong et al., 2019). These results also indicate that NDVI and NDRE

Will L. Groover, Kathy S. Lawrence

Journal of Nematology, Volume 52 , 1–13

research-article | 08-April-2020

GEOSPATIAL DATA PROCESSING CHARACTERISTICS FOR ENVIRONMENTAL MONITORING TASKS

traditional technologies ranges from 20 to 40 percent of the total. This is due to the fact that the most complex and time-consuming stages of decryption are performed using partially automated or even non-automated visual-based ways. Considerable attention is given to the development of methods and means of automated decryption and analysis of data obtained using remote sensing of the Earth [1]. In particular, attention is paid to the creation of software that implements image processing methods for

Olga BUTENKO, Stanislav HORELIK, Oleh ZYNYUK

Architecture, Civil Engineering, Environment, Volume 13 , ISSUE 1, 103–114

Article | 13-July-2020

Improved Faster R-CNN Algorithm for Sea Object Detection Under Complex Sea Conditions

, monitoring illegal intrusion ships, and assisting in analyzing the deployment of the enemy’s key ports and military warships. Therefore, it is of great practical significance to improve the detection accuracy of sea surface objects. In recent years, with the sharp increase in the resolution of satellite remote sensing images in China, many trainable remote sensing image samples have been provided for deep learning. How to effectively use massive high-resolution remote sensing images is one of the main

Liu Yabin, Yu Jun, Hu Zhiyi

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 2, 76–82

research-article | 21-July-2020

COMPLEX SPACE MONITORING DATA ANALYSIS TO DETERMINE ENVIRONMENTAL TRENDS OF POLAND-UKRAINE BORDER AREAS

state of individual areas, especially to determine the trends of its possible changes, Earth remote sensing (ERS) data is used. As it is well known, the space monitoring data contains information about the object observation properties in different conditions and at certain intervals. However, to solve the problems associated with the prediction of the dynamics found in images of various objects or phenomena that may cause future technological disasters, this data is insufficient. It is necessary to

Olga BUTENKO, Stanislav HORELIK, Inesa KRASOVSKA, Yevgeniy ZAKHARCHUK

Architecture, Civil Engineering, Environment, Volume 13 , ISSUE 2, 39–56

Research Article | 15-February-2020

Organoleptic Properties Remote Sensing and LifeTime Prediction along the Perishables Goods Supply-Chain

V.F. Annese, G.E. Biccario, S. Cipriani, D. De Venuto

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6

Article | 01-September-2015

SENSITIVITY ANALYSIS OF HIERARCHICAL HYBRID FUZZY - NEURAL NETWORK

To identify the important attributes of complex system, which is high-dimensional and contain both discrete and continuous variables, this paper proposes a sensitivity analysis method of hierarchical hybrid fuzzy - neural network. We derive the sensitivity indexes of discrete and continuous variables through the differential method. To verify the effectiveness of our method, this study employed a man-made example and a remote sensing image classification example to test the performance of our

Xing Haihua, Yu Xianchuan, Hu Dan, Dai Sha

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 3, 1837–1854

Article | 01-December-2016

A HYPERSPECTRAL BAND SELECTION BASED ON GAME THEORY AND DIFFERENTIAL EVOLUTION ALGORITHM

Aiye Shi, Hongmin Gao, Zhenyu He, Min Li, Lizhong Xu

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1971–1990

Research Article | 01-September-2017

INTELLIGENT ENVIRONMENTAL SENSING WITH AN UNMANNED AERIAL SYSTEM IN A WIRELESS SENSOR NETWORK

Ching-Ju Chen, Jou-An Chen, Yueh-Min Huang

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 3, 696–717

Research Article | 21-April-2017

Robotic transport complex of automotive vehicles for handling of rock mass at the process of open cast mining

Anatoly KOLGA, Alexander RAKHMANGULOV, Nikita OSINTSEV, Aleksander SŁADKOWSKI, Ivan STOLPOVSKIKH

Transport Problems, Volume 10 , ISSUE 2, 109–116

Research Article | 15-February-2020

Designing a Wireless Sensors Network for  Monitoring and Predicting Droughts

A Gaddam, M Al-Hrooby, W F Esmael

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6

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