scholarly journals Ship detection in Madura Strait and Lamong Gulf using Sentinel-1 SAR Data

2018 ◽  
Vol 1 ◽  
pp. 00002
Author(s):  
Filsa Bioresita ◽  
Cherie Bhekti Pribadi ◽  
Hana Sugiastu Firdaus
Keyword(s):  
Rapid Detection ◽  
Extraction Method ◽  
Sea Surface ◽  
Synthetic Aperture ◽  
Ship Detection ◽  
Remote Sensing Technology ◽  
Maritime Surveillance ◽  
Sensing Technology ◽  
Detection And Identification ◽  
Sar Imaging

<p class="Abstract">During the recent years, maritime surveillance has been receiving a growing interest. Ship detection and identification are parts of maritime surveillance in order to dealing with illegal fishery, maritime traffic, sea border activity, or oil spill detection and monitoring. Nowadays, Synthetic Aperture Radar (SAR) as one of active remote sensing technology provide signals to penetrate cloud, can be advantage to be used in tropical region with the intention to monitor sea objects on the sea surface from the space. The availability of Sentinel-1 as SAR imaging mission, providing continuous all-weather, day-and-night imagery, makes it ideal for precise cueing and location of ship activities at sea. Utilization of CFAR (Constant False Alarm Rate) algorithm provided by SNAP (Sentinel Application Platform) software from ESA show rapid detection of ship in the study areas (Madura Strait and Lamong Gulf). Compared with manual ship extraction method, it gives sufficient results.<o:p></o:p></p>

scholarly journals Validating GEV Model for Reflection Symmetry-Based Ocean Ship Detection with Gaofen-3 Dual-Polarimetric Data

2020 ◽  
Vol 12 (7) ◽  
pp. 1148
Author(s):  
Rui Guo ◽  
Jingyu Cui ◽  
Guobin Jing ◽  
Shuangxi Zhang ◽  
Mengdao Xing
Keyword(s):  
Model Fit ◽  
Sea Surface ◽  
Synthetic Aperture ◽  
Data Sets ◽  
Reflection Symmetry ◽  
Constant False Alarm Rate ◽  
Ship Detection ◽  
Effectiveness And Efficiency ◽  
Single Polarization ◽  
Probability Density Function Pdf

The spaceborne synthetic aperture radar (SAR) is quite powerful in worldwide ocean observation, especially for ship monitoring, as a hot topic in ocean surveillance. The launched Gaofen-3 (GF3) satellite of China can provide C-band and multi-polarization SAR data, and one of its scientific applications is ocean ship detection. Compared with the single polarization system, polarimetric systems can be used for more effective ship detection. In this paper, a generalized extreme value (GEV)-based constant false alarm rate (CFAR) detector is proposed for ship detection in the ocean by using the reflection symmetry metric of dual-polarization. The reflection symmetry property shows big differences between the metallic targets at sea and the sea surface. In addition, the GEV statistical model is employed for reflection symmetry statistical distribution, which fits the reflection symmetry probability density function (pdf) well. Five dual-polarimetric GF3 stripmap ocean data sets are introduced in the paper, to show the contrast in enhancement by using reflection symmetry and to investigate the GEV model fit to the reflection symmetry metric. Additionally, with the detection experiments on the real GF3 datasets, the effectiveness and efficiency of the GEV model for reflection symmetry and the model-based ocean ship detector are verified.

Estimation of Sea Surface Temperature (SST) Using Split Window Methods for Monitoring Industrial Activity in Coastal Area

2017 ◽  
Vol 862 ◽  
pp. 90-95 ◽  
Author(s):  
Agung Budi Cahyono ◽  
Dian Saptarini ◽  
Cherie Bhekti Pribadi ◽  
Haryo Dwito Armono
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Brightness Temperature ◽  
Coastal Development ◽  
Sea Surface ◽  
Distribution Area ◽  
Landsat 8 ◽  
Remote Sensing Technology ◽  
Sensing Technology

The three drivers of environmental change: climate change, population growth and economic growth, result in a range of pressures on our coastal environment. Coastal development for industry and farming are a major pressure on terrestrial and environmental quality. In their process most of industry using sea water as cooling water. When water used as a coolant is returned to the natural environment at a higher temperature, the change in temperature decreases oxygen supply and affects marine ecosystem. This research is presents results from ongoing study on application of Landsat 8 for monitoring the intensity and distribution area of sea surface temperature changed by the heated effluent discharge from the power plant on Paiton coast, Probolinggo, East Java province. Remote sensing technology using a thermal band in Operational Land Imager (OLI) sensor of Landsat 8 sattelite imagery (band 10 and band 11) are used to determine the intensity and distribution of temperature changes. Estimation of sea surface temperature (SST) using remote sensing technology is applied to provide ease of marine temperature monitoring with a large area coverage. The method used in this research using the Split Window Algorithm (SWA) methods which is an algorithm with ability to perform extraction of sea surface temperature (SST) with brigthness temperature (BT) value calculation on the band 10 and band 11 of Landsat 8. Formula which was used in this area is Ts = BT10 + (2.946*(BT10 - BT11)) - 0.038 (Ts is the surface temperature value (°C), BT10 is the brightness temperature value (°C) Band 10, BT11 is the brightness temperature value (°C) Band 11. The result of this algorithm shows the good performance with Root Mean Square Error (RMSE) amount 0.406.

scholarly journals Integration of Fine Model-Based Decomposition and Guard Filter for Ship Detection in PolSAR Images

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4295
Author(s):  
Dongsheng Liu ◽  
Ling Han
Keyword(s):  
Figure Of Merit ◽  
Spatial Information ◽  
Synthetic Aperture ◽  
Widespread Application ◽  
Polarimetric Synthetic Aperture Radar ◽  
Ship Detection ◽  
Qualitative And Quantitative ◽  
Decomposition Scheme ◽  
Model Based ◽  
Maritime Surveillance

Ship detection with polarimetric synthetic aperture radar (PolSAR) has gained extensive attention due to its widespread application in maritime surveillance. Nevertheless, designing identifiable features to realize accurate ship detection is still challenging. For this purpose, a fine eight-component model-based decomposition scheme is first presented by incorporating four advanced physical scattering models, thus accurately describing the dominant and local structure scattering of ships. Through analyzing the exclusive scattering mechanisms of ships, a discriminative ship detection feature is then constructed from the derived contributions of eight kinds of scattering components. Combined with a spatial information-based guard filter, the efficacy of the feature is further amplified and thus a ship detector is proposed which fulfills the final ship detection. Several qualitative and quantitative experiments are conducted on real PolSAR data and the results demonstrate that the proposed method reaches the highest figure-of-merit (FoM) factor of 0.96, which outperforms the comparative methods in ship detection.

scholarly journals Prakiraan Daerah Penangkapan Ikan Di Selat Bali Berdasarkan Data Citra Satelit [Fishly Ground Area Estimation In The Bali Strait Satellite Image Database Based]

2019 ◽  
Vol 4 (1) ◽  
pp. 87
Author(s):  
Iqbal Ghazali, Abdul Manan
Keyword(s):  
Remote Sensing ◽  
Marine Ecosystem ◽  
Satellite Image ◽  
Sea Surface ◽  
Fishing Ground ◽  
Fishing Activity ◽  
Area Estimation ◽  
Remote Sensing Technology ◽  
Sensing Technology

Abstract Indonesia has a lot of potential marine ecosystem and fisheries, this condition make some many Indonesian get a occupation to be fisherman. However, that is make a problem during his fishing activity, so we have to make some sophisticated technology to support that is activity. At the time, remote sensing technology is the answer for they problem, it is because of that is technology fisherman can be improvement they catcher with more efficient. Determination of fishly ground area by remote sensing technology has some stage before arranging layout Fishly Ground Area Estimation (FGAE) map. Procedure to arranging are respectively data searching, data processing, and data analysis, and the last stage is composing of layout of FGAE map. The main purpose of this study is to know about catching area at Bali straits based on image satellite with creating layout of FGAE map. This study doing descriptive method. At the PDPI making process, the chlorophyl-a data and sea surface temperature getting important parameter, which temperature is the main to parameter to understand of front area and upwelling which is have a lot of nutrient composition. In the other hand, chlorophyl-a is also parameter to know of prosperity area. The data of current, wind speed, wave, and sea surface level are important component as supporting data that will be help to fisherman on determination of fishing ground area at helping fisherman in catching activity.

scholarly journals Coral Reef Zone Analysis in Development of Segmentation Ecotourism in Karimunjawa National Park

2019 ◽  
pp. 1-15
Author(s):  
Aramita Livia Ardis ◽  
Mega Laksmini Syamsudin ◽  
Herman Hamdani ◽  
Lantun Paradhita Dewanti
Keyword(s):  
Remote Sensing ◽  
Coral Reef ◽  
Carrying Capacity ◽  
National Park ◽  
Coral Cover ◽  
Sea Surface ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Coral Reef Ecosystems

Karimunjawa is one of the main destinations that present underwater beauty that is quite popular. But due to increased tourism activities provide economic benefits but also have a negative impact on coral reef ecosystems so that prudent and sustainable management is needed, these characteristics are felt capable of being helped by remote sensing technology. The purpose of this research is to analyze the coral reef zoning for the development of ecotourism segmentation and the carrying capacity of coral reef ecosystems and to map the condition of coral reef ecosystems in the Karimunjawa National Park area through remote sensing technology. The method used in data collection uses a survey method which is divided into 2 types in-situ conducted on 19th April 2019 to 2nd May 2019 and ex-situ taken for 4 years for coral cover and 1 year for sea surface temperature. By using quantitative descriptive analysis, land suitability results are obtained based on the land suitability index approach and the percentage of coral cover in determining the mapping of ecotourism segmentation areas. The results of this research show that through in-situ approach, data collection in three stations on Sintok and Menjangan Kecil Islands has good coral cover while Cemara Besar is damaged. The appropriate Tourism Conformity Index value is on Menjangan Kecil Island while the other two stations are not so that the carrying capacity calculation is only done on the appropriate and very appropriate island. Inversely proportional through the analysis of the Scenic Beauty Estimation value, Cemara Besar Island which shows a high value while on the Menjangan Kecil Island the lowest. Spatial analysis shows that the fluctuation in sea surface temperature during one year is not too significant and is still limited to the optimum temperature range for coral growth so that it does not affect the conditions causing damage to coral reefs, called bleaching. Looking at the distribution of coral reefs via satellite, over the past 4 years shows an increase in dead coral cover leaving 6,752,802 m2 in 2019.

scholarly journals Analysis on the Effects of SAR Imaging Parameters and Environmental Conditions on the Standard Deviation of the Co-Polarized Phase Difference Measured over Sea Surface

2018 ◽  
Vol 11 (1) ◽  
pp. 18 ◽  
Author(s):  
Andrea Buono ◽  
Carina Regina de Macedo ◽  
Ferdinando Nunziata ◽  
Domenico Velotto ◽  
Maurizio Migliaccio
Keyword(s):  
Standard Deviation ◽  
Synthetic Aperture Radar ◽  
Phase Difference ◽  
Environmental Conditions ◽  
Sea Surface ◽  
Synthetic Aperture ◽  
Imaging Parameters ◽  
Sar Imaging ◽  
Aperture Radar

This study aimed at analyzing the effect of Synthetic Aperture Radar (SAR) imaging parameters and environmental conditions on the standard deviation of the co-polarized phase difference (sjC ) evaluated over sea surface[...]

Ship Surveillance by Integration of Space-borne SAR and AIS – Review of Current Research

2013 ◽  
Vol 67 (1) ◽  
pp. 177-189 ◽  
Author(s):  
Zhi Zhao ◽  
Kefeng Ji ◽  
Xiangwei Xing ◽  
Huanxin Zou ◽  
Shilin Zhou
Keyword(s):  
State Of The Art ◽  
Rapid Development ◽  
Automatic Identification ◽  
Identification System ◽  
Environment Monitoring ◽  
Ship Detection ◽  
Maritime Surveillance ◽  
Satisfactory Performance ◽  
Detection And Identification ◽  
Ocean Environment

Ship surveillance is important for maritime security and safety. It plays important roles in many applications including ocean environment monitoring, search and rescue, anti-piracy and military reconnaissance. Among various sensors used for maritime surveillance, space-borne Synthetic Aperture Radar (SAR) is valued for its high resolution over wide swaths and all-weather working capabilities. However, the state-of-the-art algorithms for ship detection and identification do not always achieve a satisfactory performance. With the rapid development of space-borne Automatic Identification System (AIS), near real-time and global surveillance has become feasible. However, not all ships are equipped with or operate AIS. Space-borne SAR and AIS are considered to be complementary, and ship surveillance using an integrated combination has attracted much attention. In order to summarize the achievements and present references for further research, this paper attempts to explicitly review the developments in previous research as the basis of a brief introduction to space-borne SAR and AIS.

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