Remotely Sensed Image Based on Robust Segmentation and GIS System

2021 ◽  
Vol 34 (1) ◽  
pp. 64-68
Author(s):  
Swati Jain ◽  
Somesh Kumar Dewangan

The continuous rising abstraction resolution of distant police work sensors sets new interest for applications victimization this information. For mining valuable information from far flung police work data, various classifiers hooked in to the supernatural examination of individual pixels are projected and big advancement has been accomplished. Even so, these methodologies have their restrictions, for the foremost half they manufacture "salt and pepper" boisterous outcomes. to beat such problems, object-arranged image examination strategy hooked in to multi-resolution division methodology was advanced and it's been used for various application functions effectively. During this examination, a productive remotely detected image smart understanding technique hooked in to image division and geographical information framework (GIS) was projected, within the 1st place, division hooked in to mean shift was utilized to amass the underlying parts from distant police work footage. At that time, apply vectorization (Raster to Vector Convertor) strategy to supply polygons from the divided image and highlight attributions, as an example, ghostly, shape, surface then on square measure removed by zonal investigation hooked in to distinctive formation and polygons. At last, creating getting ready take a look at and administered characterization square measure dispensed. just about all means that square measure accomplished in geo-data framework with the exception of image division. supported the investigation, we have a tendency to engineered up a product arrangement of remotely detected image examination. Contrasted and also the understanding methodology of a business programming eCognition, the projected one was gettable and practiced once applied to the Quick bird remotely detected footage.

2005 ◽  
Vol 85 (2) ◽  
pp. 127-133
Author(s):  
Dejan Sabic ◽  
Misko Milanovic

The paper describes reality method sand geographical information systems (GIS- technologies) in integration GIS system. Sjenica is a specific area of the our state and therefore must notes of all elements and factors in environmental. GISs differ from the other types of information systems in that they manage huge quantities of data, enquire complex concepts to describe the geometry of objects and specify complex topological relationship between them. The paper describes our proposal for the project GIS for local community of Sjenica based on GIS technologies, with particular reference to the GIS demands and possibilities.


2013 ◽  
Vol 427-429 ◽  
pp. 2748-2751
Author(s):  
Jia Yin Sui ◽  
Ying Nan Wang ◽  
Zhe Ren

Distribution network reconfiguration is one of the essential functions of the DMS system; it can be attributed to a number of constraints of large-scale nonlinear combinatorial optimization problem in mathematics. The characteristic of load change of time and space will affect the results of load forecasting. Distribution network reconfiguration relies on the load forecasting results. This paper proposes the more realistic distribution reconfiguration scheme based on the GIS system with space information through spatial data mining. For the real-time and efficiency of effective assurance data, the interface design in GIS system and distribution automation system are also proposed. The geographical information and real-time information are connected seamlessly, so that this two system information is highly unified. The solution can provide the data basis for distribution reconfiguration scheme accurately, and improve power supply reliability of distribution network. It shows that through the example: GIS based on the spatial data mining can provide load in quantity, time, space prediction for the deeper research of distribution network reconfiguration.


1992 ◽  
pp. 41-48
Author(s):  
Mohamed Othman

Kertas kerja ini membincangkan kajian literatur mengenai proses awal yang perlu dititikberatkan dalam pembangunan suatu GIS (Geographical Information System). Dalam pembangunan sistem maklumat geografi (GIS), proses penukaran data (data conversion) merupakan proses awal yang perlu dilalui untuk mencapai kepada tahap pangkalan data geografi yang bermutu tinggi. Proses ini juga biasanya merupakan sebahagian terbesar daripada keseluruhan projek GIS dan secara tidak langsung kos untuk proses tersebut juga adalah yang paling tinggi iaitu dalam lingkungan 60%. Dari segi terminologi pula, terdapat dua aspek proses penukaran dan di dalam kertas kerja ini salah satu aspek yang akan dibincangkan iaitu dari segi persediaan awal berkaitan dengan spesifikasi projek penukaran, spesifikasi data dan spesifikasi pentadbiran harus dilaksanakan sebelum proses penukaran (conversion) dapat dijalankan dengan lancar. Setiap sistem AM/FM pula, memerlukan kepada satu dasar tanah yang tepat, terkini dan selaras dengan tempat data fasiliti dirujuk secara geografik. Dengan lain perkataan, tanpa dasar tanah, sesuatu sistem pemetaan tidak boleh dikatakan sebagai satu GIS. Beberapa teknik perolehan dasar tanah dibincangkan dengan serba ringkas untuk membolehkan perhatian ditumpukan kepada masalah penyediaan dan pembersihan data fasiliti yang akan dirujuk terhadap dasar tanah ini kelak. Pembersihan data fasiliti adalah amat perlu supaya data yang dimasukkan semasa proses penukaran berada dalam keadaan baik dan tidak mendatangkan masalah semasa penggunaan kelak. Ini juga dapat menjimatkan kos pengguna dalam jangka masa panjang. Mutu maklumat yang akan ditukar juga perlu diambilkira. Katakunci: Peta, Pangkalan Data, Geografi, Digital, Pengimbas, Pendigit, Cerapan, Lapangan, Perantaramuka, terpusat, Teragih, Skedul, Sistem Unjuran, Koordinat, AM/FM (Pemetaan Terotomat/Fasiliti), Pendigit stereo, Fotogrametri, imbasan, Raster, Pendigit Stereo, Ortofotografi, Pengurus Grafik, Pembaca Kad Optik, Perantaramuka, Fonetik, PERT/CPM (project Evaluation Revision Technique/Critical Path Method) This paper will discuss on a literature study on early stages in the development of a GIS (Geographical Information System). In the development of a GIS, data conversion is the initial process that one has to undergoe in order to achieve a geographic of high quality. This process often constitutes to more than half of the total of a GIS project and indirectly the cost for this process is usually around 60%. In terms of terminology there are two aspects of data conversion in a GIS namely, conversion of analogue/manual geographic data to digital form which involves manual sources such as paper maps, drawings, digital form etc. and conversion from one GIS system to another GIS system of different format. In this paper only the first aspect will be discussed in depth regarding early preparations to be considered in the data conversion and this pertains to project specifications, data specification and administrative specifications. Every GIS requires a current, uniformly accurate landbase to which the facilities data can be geographically referenced. In other words, a computerised mapping system is nota a true GIS if it is not referenced to land base. Techniques on land base acquisition is disscussed in brief to allow the author to express in detail problems concerning the importance of data preparation and purification before the final conversion takes place. Data preparation and purification is viable so as not to input 'garbage' and 'output' garbage as well. Quality control on data to be converted should also be taken into consideration. Keyword: Maps, Database, Geographic, Digital, Scanner, Field observation, Interface, Centralised, Distributed, Schedule, Projection System, Coordinate, AM/FM (Automated Mapping/Facility Management), Photogrammetry, Scanning, Stereodigitizing, Ortophotography, OCR (Optical Card Reader), Interface, Phonetic, PERT/CPM (Project Evaluation Revision Technique/Critical Path Method)


2018 ◽  
Vol 10 (12) ◽  
pp. 1999 ◽  
Author(s):  
Wanqian Yan ◽  
Haiyan Guan ◽  
Lin Cao ◽  
Yongtao Yu ◽  
Sha Gao ◽  
...  

Forests play a key role in terrestrial ecosystems, and the variables extracted from single trees can be used in various fields and applications for evaluating forest production and assessing forest ecosystem services. In this study, we developed an automated hierarchical single-tree segmentation approach based on the high density three-dimensional (3D) Unmanned Aerial Vehicle (UAV) point clouds. First, this approach obtains normalized non-ground UAV points in data preprocessing; then, a voxel-based mean shift algorithm is used to roughly classify the non-ground UAV points into well-detected and under-segmentation clusters. Moreover, potential tree apices for each under-segmentation cluster are obtained with regard to profile shape curves and finally input to the normalized cut segmentation (NCut) algorithm to segment iteratively the under-segmentation cluster into single trees. We evaluated the proposed method using datasets acquired by a Velodyne 16E LiDAR system mounted on a multi-rotor UAV. The results showed that the proposed method achieves the average correctness, completeness, and overall accuracy of 0.90, 0.88, and 0.89, respectively, in delineating single trees. Comparative analysis demonstrated that our method provided a promising solution to reliable and robust segmentation of single trees from UAV LiDAR data with high point cloud density.


2011 ◽  
Vol 43 (2) ◽  
pp. 117 ◽  
Author(s):  
Katia Baslé ◽  
Odile Guillon ◽  
Fabien Fohrer ◽  
Floréal Daniel

Since 2004, the Cicrp: &ldquo;Centre Interr&eacute;gional de Conservation et Restauration du Patrimoine&rdquo;, located in Marseilles has been involved in an interdisciplinary research program dealing with infestation and re-infestation, on lining pastes used in painting conservation, by the <em>Stegobium paniceum</em> through a GIS system : a geographical information system called &ldquo;StegoGIS&rdquo;. The GIS helps understand the insects ethology in its environmental context, mainly in flour and semolina millings in order to determine analysis criteria to prevent, mitigate and fight infestation in the cultural property environment. Our approach is based on three main lines: 1- A transverse approach of infestation in any type of cultural heritage institution: archives, libraries, museums, historic buildings where organic material collections and environment are attractive on an &ldquo;insect point of view&rdquo;. 2 &ndash;An IPM strategy (Integrated Pest Management) including conservation and management of collections and buildings also based on an infestation survey with actual or potential risks. 3- A &ldquo;decision- making tool&rdquo; in diagnosis, preventing methods and treatments for professional conservation staff.


Author(s):  
Jaroslaw A. Czyz ◽  
Chris Pettigrew ◽  
Hector Pino ◽  
Ruben Gomez

This paper describes the GIS system developed for the Pemex’ pipeline network in the Valley of Mexico. The pipeline UTM coordinates, which are the basis of the GIS, were obtained from the high accuracy Geopig® inertial and caliper surveys. The survey data also included information on pipeline features and anomalies, and was incorporated into the GIS together with the metal loss data from the past in-line inspections. The system is based on the ArcView® GIS Software with the Arc View 3D Analyst™ extension that allows both the cartography and pipeline data to be viewed in 3-D space. It stores information on pipeline plan, profile, girth weld locations, dents, wall thickness, bending strains, metal loss and other features in relation to known landmarks such as roads, buildings, political boundaries and hydrology. This allows for very efficient and accurate location of pipe defects and anomalies, which is particularly beneficial where there are several pipelines running in the same right-of-way. It helps to eliminate unnecessary excavations, as well as to coordinate, plan and schedule pipeline repairs. The additional benefit of a multi-pipeline GIS system is the ability to store various information for all the pipelines in one database, which is easy to manage and update. The GIS also gives the ability to plot detailed maps, query data for effective solutions and visualize scenarios.


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