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Journal articles on the topic 'Digital Change Detection'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Sundby, Tiril, Julia Maria Graham, Adil Rasheed, Mandar Tabib, and Omer San. "Geometric Change Detection in Digital Twins." Digital 1, no. 2 (2021): 111–29. http://dx.doi.org/10.3390/digital1020009.

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Digital twins are meant to bridge the gap between real-world physical systems and virtual representations. Both stand-alone and descriptive digital twins incorporate 3D geometric models, which are the physical representations of objects in the digital replica. Digital twin applications are required to rapidly update internal parameters with the evolution of their physical counterpart. Due to an essential need for having high-quality geometric models for accurate physical representations, the storage and bandwidth requirements for storing 3D model information can quickly exceed the available st

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Porumb, Liviu, and Oana-Lavinia Porumb. "Change Detection Using Digital Panchromatic Aerial Photographs." Journal of Military Technology 4, no. 1 (2021): 23–28. http://dx.doi.org/10.32754/jmt.2021.1.04.

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Hosseini, S., F. Tabib Mahmoudi, and A. Aboutalebi. "BUILT UP CHANGE DETECTION BASED ON STRUCTURAL CLASSIFICATION OF DIGITAL ELEVATION MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 493–96. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-493-2019.

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Abstract. Multi temporal changes in built up areas are mainly caused by natural disasters (such as floods and earthquakes) or urban sprawl. Detecting these changes which consist of construction, destruction and renovation of buildings can play an important role in updating three dimensional city models and making the right decisions for urban management. Generally, change detection methods based on multi temporal remotely sensed data can be divided into 2D and 3D categories. Three dimensional change detection methods are suitable for identifying the changes of three dimensional objects such as

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4

Politz, Florian, Monika Sester, and Claus Brenner. "Building Change Detection of Airborne Laser Scanning and Dense Image Matching Point Clouds using Height and Class Information." AGILE: GIScience Series 2 (June 4, 2021): 1–14. http://dx.doi.org/10.5194/agile-giss-2-10-2021.

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Abstract. Detecting changes is an important task to update databases and find irregularities in spatial data. Every couple of years, national mapping agencies (NMAs) acquire nation-wide point cloud data from Airborne Laser Scanning (ALS) as well as from Dense Image Matching (DIM) using aerial images. Besides deriving several other products such as Digital Elevation Models (DEMs) from them, those point clouds also offer the chance to detect changes between two points in time on a large scale. Buildings are an important object class in the context of change detection to update cadastre data. As

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Cserhalmi, Dániel, and Dániel Kristóf. "Vegetation change detection of mires with digital aerial photographs." Cereal Research Communications 35, no. 2 (2007): 329–32. http://dx.doi.org/10.1556/crc.35.2007.2.41.

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Hall, Ola, and Geoffrey J. Hay. "A Multiscale Object-Specific Approach to Digital Change Detection." International Journal of Applied Earth Observation and Geoinformation 4, no. 4 (2003): 311–27. http://dx.doi.org/10.1016/s0303-2434(03)00010-2.

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7

Knudsen, Thomas, and Brian P. Olsen. "Automated Change Detection for Updates of Digital Map Databases." Photogrammetric Engineering & Remote Sensing 69, no. 11 (2003): 1289–96. http://dx.doi.org/10.14358/pers.69.11.1289.

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8

Hron, V., and L. Halounova. "NATIONWIDE HYBRID CHANGE DETECTION OF BUILDINGS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 497–504. http://dx.doi.org/10.5194/isprsarchives-xli-b7-497-2016.

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The Fundamental Base of Geographic Data of the Czech Republic (hereinafter FBGD) is a national 2D geodatabase at a 1:10,000 scale with more than 100 geographic objects. This paper describes the design of the permanent updating mechanism of buildings in FBGD. The proposed procedure belongs to the category of hybrid change detection (HCD) techniques which combine pixel-based and object-based evaluation. The main sources of information for HCD are cadastral information and bi-temporal vertical digital aerial photographs. These photographs have great information potential because they contain mult

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Hron, V., and L. Halounova. "NATIONWIDE HYBRID CHANGE DETECTION OF BUILDINGS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 497–504. http://dx.doi.org/10.5194/isprs-archives-xli-b7-497-2016.

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The Fundamental Base of Geographic Data of the Czech Republic (hereinafter FBGD) is a national 2D geodatabase at a 1:10,000 scale with more than 100 geographic objects. This paper describes the design of the permanent updating mechanism of buildings in FBGD. The proposed procedure belongs to the category of hybrid change detection (HCD) techniques which combine pixel-based and object-based evaluation. The main sources of information for HCD are cadastral information and bi-temporal vertical digital aerial photographs. These photographs have great information potential because they contain mult

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10

SINGH, ASHBINDU. "Review Article Digital change detection techniques using remotely-sensed data." International Journal of Remote Sensing 10, no. 6 (1989): 989–1003. http://dx.doi.org/10.1080/01431168908903939.

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Bhattacharya, Subhabrata, Adithya Prakash, and Rohit Puri. "Shot Change and Stuck Pixel Detection of Digital Video Assets." SMPTE Motion Imaging Journal 127, no. 6 (2018): 34–43. http://dx.doi.org/10.5594/jmi.2018.2827278.

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12

Carvalho, L. M. T., L. M. G. Fonseca, F. Murtagh, and J. G. P. W. Clevers. "Digital change detection with the aid of multiresolution wavelet analysis." International Journal of Remote Sensing 22, no. 18 (2001): 3871–76. http://dx.doi.org/10.1080/01431160110069836.

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13

Coppin, Pol R., and Marvin E. Bauer. "Digital change detection in forest ecosystems with remote sensing imagery." Remote Sensing Reviews 13, no. 3-4 (1996): 207–34. http://dx.doi.org/10.1080/02757259609532305.

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14

Bauman, T., O. Almog, and S. Dalyot. "TOWARDS THE AUTOMATIC DETECTION OF GEOSPATIAL CHANGES BASED ON DIGITAL ELEVATION MODELS PRODUCED BY UAV IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W16 (September 16, 2019): 47–53. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-47-2019.

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<p><strong>Abstract.</strong> Reliable and accurate geospatial-databases (Digital Elevation Models, DEMs) are an essential component of Geographic Information Systems (GIS). One of their most important uses is change detection – an invaluable tool for environmental interpretation and evidence-based action. High-performance and inexpensive Unmanned Aerial Vehicles (UAVs) are increasingly used for the acquisition of timely geospatial information (imagery) for the production of DEMs for geospatial change detection. DEMs produced from UAV imagery have very high resolution and ver

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Li, Lian Ying, Zhang Huang, and Xiao Lan Xu. "Navigational Data Change Detection Based on Rasterizing Features & Attributes." Applied Mechanics and Materials 256-259 (December 2012): 2279–84. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2279.

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A necessary updating degree is vital for the digital map data in a vehicle navigation system. Only when the digital map data are well updated, can the quality of the navigation be assured. Today the companies devoting to the production of digital map data for vehicle navigation have to cost much labor, material and capital to collect and update data in order to maintain a necessary updating degree. Throughout the history of electronic navigation data updating, they have made considerable progress both on the methods and processes of data production, and the way of map management. Updating from

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Vallet, B. "Homological persistence for shape based change detection between Digital Elevation Models." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W2 (October 7, 2013): 49–54. http://dx.doi.org/10.5194/isprsannals-ii-3-w2-49-2013.

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Putri, A. R. D., P. Sidiropoulos, and J. P. Muller. "ANOMALY DETECTION PERFORMANCE COMPARISON ON ANOMALY-DETECTION BASED CHANGE DETECTION ON MARTIAN IMAGE PAIRS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1437–41. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1437-2019.

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<p><strong>Abstract.</strong> The surface of Mars has been imaged in visible wavelengths for more than 40 years since the first flyby image taken by Mariner 4 in 1964. With higher resolution from orbit from MOC-NA, HRSC, CTX, THEMIS, and HiRISE, changes can now be observed on high-resolution images from different instruments, including spiders (Piqueux et al., 2003) near the south pole and Recurring Slope Lineae (McEwen et al., 2011) observable in HiRISE resolution. With the huge amount of data and the small number of datasets available on Martian changes, semi-automatic or a

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18

Margolies, L., A. Cohen, E. Sonnenblick, et al. "Digital Breast Tomosynthesis Changes Management in Patients Seen at a Tertiary Care Breast Center." ISRN Radiology 2014 (March 3, 2014): 1–8. http://dx.doi.org/10.1155/2014/658929.

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Objectives. To study factors that predict changes in management with digital breast tomosynthesis (DBT). Methods. The Institutional Review Board approved this HIPAA compliant study. 996 patients had DBT with full field digital mammography (FFDM). Univariate analysis evaluated predictors of management change and cancer detection. Results. DBT changed management in 109 of 996 (11%); 77 (71%) required less imaging. Recalled patients after abnormal FFDM screen were most likely to have management change—25% (24 of 97 patients) compared to 8% (13/163) of symptomatic patients and 10% (72/736) of scre

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Dahle, F., K. Arroyo Ohori, G. Agugiaro, and S. Briels. "AUTOMATIC CHANGE DETECTION OF DIGITAL MAPS USING AERIAL IMAGES AND POINT CLOUDS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 457–64. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-457-2021.

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Abstract. In many countries digital maps are generally created and provided by Cadastre, Land Registry or National Mapping Agencies. These maps must be accurate and well maintained. However, in most cases, the update process of these maps is still done by hand, often using satellite or aerial imagery. Supporting this process via automatic change detection based on traditional classification algorithms is difficult due to the high level of noise in the data, such as introduced by temporary changes (e.g. cars being parked). This paper describes a method to detect changes between two time steps u

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Muhsin, Israa Jameel. "Monitoring of south Iraq marshes using classification and change detection techniques." Iraqi Journal of Physics (IJP) 15, no. 33 (2019): 78–86. http://dx.doi.org/10.30723/ijp.v15i33.143.

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Digital change detection is the process that helps in determining the changes associated with land use and land cover properties with reference to geo-registered multi temporal remote sensing data. In this research change detection techniques have been employed to detect the changes in marshes in south of Iraq for two period the first one from 1973 to 1984 and the other from 1973 to 2014 three satellite images had been captured by land sat in different period. Preprocessing such as geo-registered, rectification and mosaic process have been done to prepare the satellite images for monitoring pr

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Akca, Devrim, Efstratios Stylianidis, Konstantinos Smagas, et al. "VOLUMETRIC FOREST CHANGE DETECTION THROUGH VHR SATELLITE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 24, 2016): 1213–20. http://dx.doi.org/10.5194/isprsarchives-xli-b8-1213-2016.

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Quick and economical ways of detecting of planimetric and volumetric changes of forest areas are in high demand. A research platform, called FORSAT (A satellite processing platform for high resolution forest assessment), was developed for the extraction of 3D geometric information from VHR (very-high resolution) imagery from satellite optical sensors and automatic change detection. This 3D forest information solution was developed during a Eurostars project. FORSAT includes two main units. The first one is dedicated to the geometric and radiometric processing of satellite optical imagery and 2

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Akca, Devrim, Efstratios Stylianidis, Konstantinos Smagas, et al. "VOLUMETRIC FOREST CHANGE DETECTION THROUGH VHR SATELLITE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 24, 2016): 1213–20. http://dx.doi.org/10.5194/isprs-archives-xli-b8-1213-2016.

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Quick and economical ways of detecting of planimetric and volumetric changes of forest areas are in high demand. A research platform, called FORSAT (A satellite processing platform for high resolution forest assessment), was developed for the extraction of 3D geometric information from VHR (very-high resolution) imagery from satellite optical sensors and automatic change detection. This 3D forest information solution was developed during a Eurostars project. FORSAT includes two main units. The first one is dedicated to the geometric and radiometric processing of satellite optical imagery and 2

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23

Altuntas, C. "URBAN AREA CHANGE DETECTION USING TIME SERIES AERIAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 29–34. http://dx.doi.org/10.5194/isprs-archives-xlii-2-29-2018.

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The urban area should be imaged in three-dimensional (3D) for planning, inspection and management. In addition fast urbanisation requires detection the urban area changes which have been occurred with new buildings, additional floor to current buildings and excavations. 3D surface model of urban area enables to extracting high information from them. On the other hand high density spatial data should be measured to creating 3D digital terrain surface model. The dense image matching method makes 3D measurement with high density from the images in a short time. The aim of this study is detection

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Martin, David C. "Local entropy edge detection in digital images." Proceedings, annual meeting, Electron Microscopy Society of America 46 (1988): 840–41. http://dx.doi.org/10.1017/s0424820100106260.

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Detection of edges in digital images is an important task for feature recognition and interpretation. Typically, edge detection schemes involve difference operators such as the gradient or Laplacian which depend on the rate of change of brightness in an image. Recently, Shiozaki has shown that a local entropy operator can be useful for edge detection in digital images. This method is simple, rapid, and the resulting image can be interpreted as a measure of the local “information” content of the original data. Here, we investigate the applicability of this approach to digital electron micrograp

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Tian, Jiaojiao, Shiyong Cui, and Peter Reinartz. "Building Change Detection Based on Satellite Stereo Imagery and Digital Surface Models." IEEE Transactions on Geoscience and Remote Sensing 52, no. 1 (2014): 406–17. http://dx.doi.org/10.1109/tgrs.2013.2240692.

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Hamed, Noor H., Muthanna M. Bayati, and Haider Mohammed. "Digital Change Detection and Map Analysis for Urban Expansion and Land Cover Changes in Karbala City." Engineering and Technology Journal 38, no. 9A (2020): 1246–56. http://dx.doi.org/10.30684/etj.v38i9a.296.

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Urban growth driven by uncontrolled expansion is one of the greatest problems that reduces the fertile lands in Karbala Governorate, Iraq. This phenomenon is the cause for variety of urban environmental problems such as an increase in local temperature, cost of land, and loss of agricultural produce. Multiple images of different time periods were used, passing them through a series of image processing steps according to the methodology of work to achieve the aims of the paper by calculating land cover changes for Karbala City from 1992 to 2013. The aim of this research is to take the temporal

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Keinan, E., Y. A. Felus, Y. Tal, O. Zilberstien, and Y. Elihai. "UPDATING NATIONAL TOPOGRAPHIC DATA BASE USING CHANGE DETECTION METHODS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 529–36. http://dx.doi.org/10.5194/isprs-archives-xli-b7-529-2016.

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The traditional method for updating a topographic database on a national scale is a complex process that requires human resources, time and the development of specialized procedures. In many National Mapping and Cadaster Agencies (NMCA), the updating cycle takes a few years. Today, the reality is dynamic and the changes occur every day, therefore, the users expect that the existing database will portray the current reality. Global mapping projects which are based on community volunteers, such as OSM, update their database every day based on crowdsourcing. In order to fulfil user's requirements

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Pathak, S. "New Change Detection Techniques to monitor land cover dynamics in mine environment." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 875–79. http://dx.doi.org/10.5194/isprsarchives-xl-8-875-2014.

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Land use and land cover are dynamic and is an important component in understanding the interactions of the human activities with the environment and thus it is necessary to simulate environmental changes. Land use/cover (LU/LC) change detection is very essential for better understanding of landuse dynamic during a known period of time for sustainable management. Mining is one of the most dynamic processes with direct as well as indirect impact on the environment. Hence, mine area provides ideal situation for evaluating the chronological changes in land-use patterns. Digital change detection of

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Marić, Ivan, Ante Šiljeg, Fran Domazetović, and Neven Cukrov. "Application of geomorphic change detection (GCD) on tufa digital elevation models (DEMs) of submillimeter resolution – case study National park Krka, Croatia." Zeitschrift für Geomorphologie 63, no. 1 (2021): 81–93. http://dx.doi.org/10.1127/zfg/2021/0679.

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Gbopa, Adetola Olufunmilayo, Emmanuel Gbenga Ayodele, Chukwuma John Okolie, Akinwumi Olaitan Ajayi, and Chima Jude Iheaturu. "Unmanned Aerial Vehicles for Three‑dimensional Mapping and Change Detection Analysis." Geomatics and Environmental Engineering 15, no. 1 (2021): 41–61. http://dx.doi.org/10.7494/geom.2021.15.1.41.

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Unmanned Aerial Vehicles (UAVs), commonly known as drones are increasingly being used for three‑dimensional (3D) mapping of the environment. This study utilised UAV technology to produce a revised 3D map of the University of Lagos as well as land cover change detection analysis. A DJI Phantom 4 UAV was used to collect digital images at a flying height of 90 m, and 75% fore and 65% side overlaps. Ground control points (GCPs) for orthophoto rectification were coordinated with a Trimble R8 Global Navigation Satellite System. Pix4D Mapper was used to produce a digital terrain model and an orthopho

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Qin, R., and A. Gruen. "A supervised method for object-based 3D building change detection on aerial stereo images." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3 (August 11, 2014): 259–64. http://dx.doi.org/10.5194/isprsarchives-xl-3-259-2014.

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There is a great demand for studying the changes of buildings over time. The current trend for building change detection combines the orthophoto and DSM (Digital Surface Models). The pixel-based change detection methods are very sensitive to the quality of the images and DSMs, while the object-based methods are more robust towards these problems. In this paper, we propose a supervised method for building change detection. After a segment-based SVM (Support Vector Machine) classification with features extracted from the orthophoto and DSM, we focus on the detection of the building changes of di

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White, C. T., A. Petrasova, W. Reckling, and H. Mitasova. "AUTOMATED LAND COVER CHANGE DETECTION THROUGH RAPID UAS UPDATES OF DIGITAL SURFACE MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W11 (February 14, 2020): 155–59. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w11-155-2020.

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Abstract. Up to date geospatial data provide the foundation for the development of smart and connected communities. While high-resolution 2D imagery is becoming widely available at less than monthly intervals and several infrastructure layers (e.g., roads, building footprints) are updated on a continuous basis, digital surface models (DSM) are generated less frequently and become quickly obsolete in rapidly developing regions. We present a methodology for continuous and efficient updates of DSM based on automated change detection from high-resolution satellite imagery that is used to develop U

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Zhi, Menghui, Liang Tang, Xin Cao, and Donghai Qiao. "Digital Fluxgate Magnetometer for Detection of Microvibration." Journal of Sensors 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/6453243.

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In engineering practice, instruments, such as accelerometer and laser interferometer, are widely used in vibration measurement of structural parts. A method for using a triaxial fluxgate magnetometer as a microvibration sensor to measure low-frequency pendulum microvibration (not translational vibration) is proposed in this paper, so as to detect vibration from low-frequency vibration sources, such as large rotating machine, large engineering structure, earthquake, and microtremor. This method provides vibration detection based on the environmental magnetic field signal to avoid increased meas

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Keinan, E., Y. A. Felus, Y. Tal, O. Zilberstien, and Y. Elihai. "UPDATING NATIONAL TOPOGRAPHIC DATA BASE USING CHANGE DETECTION METHODS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 529–36. http://dx.doi.org/10.5194/isprsarchives-xli-b7-529-2016.

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The traditional method for updating a topographic database on a national scale is a complex process that requires human resources, time and the development of specialized procedures. In many National Mapping and Cadaster Agencies (NMCA), the updating cycle takes a few years. Today, the reality is dynamic and the changes occur every day, therefore, the users expect that the existing database will portray the current reality. Global mapping projects which are based on community volunteers, such as OSM, update their database every day based on crowdsourcing. In order to fulfil user's requirements

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Huang, G., Y. Sun, and Z. Zhao. "THE FEASIBILITY EVALUATION OF LAND USE CHANGE DETECTION USING GAOFEN-3 DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 587–93. http://dx.doi.org/10.5194/isprs-archives-xlii-3-587-2018.

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GaoFen-3 (GF-3) satellite, is the first C band and multi-polarimetric Synthetic Aperture Radar (SAR) satellite in China. In order to explore the feasibility of GF-3 satellite in remote sensing interpretation and land-use remote sensing change detection, taking Guangzhou, China as a study area, the full polarimetric image of GF-3 satellite with 8&amp;thinsp;m resolution of two temporal as the data source. Firstly, the image is pre-processed by orthorectification, image registration and mosaic, and the land-use remote sensing digital orthophoto map (DOM) in 2017 is made according to the each

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Sinha, Sumedha P., Ramkrishnan Narayanan, Bing Ma, Marilyn A. Roubidoux, He Liu, and Paul L. Carson. "Image Registration for Detection and Quantification of Change on Digital Tomosynthesis Mammographic Volumes." American Journal of Roentgenology 192, no. 2 (2009): 384–87. http://dx.doi.org/10.2214/ajr.08.1388.

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JHA, c. S., and N. V. M. UNNI. "Digital change detection of forest conversion of a dry tropical Indian forest region." International Journal of Remote Sensing 15, no. 13 (1994): 2543–52. http://dx.doi.org/10.1080/01431169408954265.

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Grigillo, Dejan, Mojca Kosmatin Fras, and Dušan Petrovič. "Automatic extraction and building change detection from digital surface model and multispectral orthophoto." Geodetski vestnik 55, no. 01 (2011): 011–27. http://dx.doi.org/10.15292/geodetski-vestnik.2011.01.011-027.

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Kano, Akiko, Kunio Doi, Heber MacMahon, Dayne D. Hassell, and Maryellen L. Giger. "Digital image subtraction of temporally sequential chest images for detection of interval change." Medical Physics 21, no. 3 (1994): 453–61. http://dx.doi.org/10.1118/1.597308.

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Tao, Junyi, and Stefan Auer. "Simulation-Based Building Change Detection From Multiangle SAR Images and Digital Surface Models." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9, no. 8 (2016): 3777–91. http://dx.doi.org/10.1109/jstars.2015.2502762.

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Karila, Kirsi, Xiaowei Yu, Mikko Vastaranta, Mika Karjalainen, Eetu Puttonen, and Juha Hyyppä. "TanDEM-X digital surface models in boreal forest above-ground biomass change detection." ISPRS Journal of Photogrammetry and Remote Sensing 148 (February 2019): 174–83. http://dx.doi.org/10.1016/j.isprsjprs.2019.01.002.

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Zhang, Tao, Cong Liu, Wuping Zhou, et al. "Ultrasensitive Detection of Pb2+ Based on a DNAzyme and Digital PCR." Journal of Analytical Methods in Chemistry 2019 (January 2, 2019): 1–6. http://dx.doi.org/10.1155/2019/3528345.

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In this study, an ultrasensitive detection method for aqueous Pb2+ based on digital polymerase chain reaction (dPCR) technology and a Pb2+-dependent DNAzyme was developed. In the presence of Pb2+, the Gr-5 DNAzyme was activated and catalyzed the hydrolytic cleavage of the substrate strand, resulting in an increase in the amount of template DNA available for dPCR and a resultant change in the number of droplets showing a positive signal. Moreover, the detection system was found to be sensitive and stable in environmental sample detection. In summary, an ultrasensitive quantitative detection met

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Pang, Shiyan, Xiangyun Hu, Mi Zhang, Zhongliang Cai, and Fengzhu Liu. "Co-Segmentation and Superpixel-Based Graph Cuts for Building Change Detection from Bi-Temporal Digital Surface Models and Aerial Images." Remote Sensing 11, no. 6 (2019): 729. http://dx.doi.org/10.3390/rs11060729.

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Thanks to the recent development of laser scanner hardware and the technology of dense image matching (DIM), the acquisition of three-dimensional (3D) point cloud data has become increasingly convenient. However, how to effectively combine 3D point cloud data and images to realize accurate building change detection is still a hotspot in the field of photogrammetry and remote sensing. Therefore, with the bi-temporal aerial images and point cloud data obtained by airborne laser scanner (ALS) or DIM as the data source, a novel building change detection method combining co-segmentation and superpi

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Fuse, T., and T. Yamano. "CHANGE DETECTION OF TIME-SERIES 3D POINT CLOUDS USING ROBUST PRINCIPAL COMPONENT ANALYSIS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 163–69. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-163-2021.

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Abstract. The chances of acquiring three-dimensional (3D) point clouds have recently increased with the emergence of laser scanners. Hence, 3D monitoring of various objects through the accumulation of “time-series 3D point clouds,” which are point clouds of the same place at different times, is possible. Change detection is a task that is indispensable in 3D monitoring. One of the most common change detection method of 3D point clouds is simple subtraction between two data. However, this method is vulnerable to various errors. Therefore, change detection methods that are robust to errors are r

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Zhang, Z., G. Vosselman, M. Gerke, C. Persello, D. Tuia, and M. Y. Yang. "CHANGE DETECTION BETWEEN DIGITAL SURFACE MODELS FROM AIRBORNE LASER SCANNING AND DENSE IMAGE MATCHING USING CONVOLUTIONAL NEURAL NETWORKS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5 (May 29, 2019): 453–60. http://dx.doi.org/10.5194/isprs-annals-iv-2-w5-453-2019.

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<p><strong>Abstract.</strong> Airborne photogrammetry and airborne laser scanning are two commonly used technologies used for topographical data acquisition at the city level. Change detection between airborne laser scanning data and photogrammetric data is challenging since the two point clouds show different characteristics. After comparing the two types of point clouds, this paper proposes a feed-forward Convolutional Neural Network (CNN) to detect building changes between them. The motivation from an application point of view is that the multimodal point clouds might be a

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Grigillo, Dejan, Mojca Kosmatin Fras, and Dušan Petrovič. "Samodejen zajem in iskanje sprememb v topografskem sloju stavb iz digitalnega modela površja in multispektralnega ortofota." Geodetski vestnik 55, no. 01 (2011): 028–45. http://dx.doi.org/10.15292/geodetski-vestnik.2011.01.028-045.

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Lian, X., W. Yuan, Z. Guo, Z. Cai, X. Song, and R. Shibasaki. "END-TO-END BUILDING CHANGE DETECTION MODEL IN AERIAL IMAGERY AND DIGITAL SURFACE MODEL BASED ON NEURAL NETWORKS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 14, 2020): 1239–46. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1239-2020.

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Abstract. Multi-temporal building change detection is one of the most essential major issues of photogrammetry and remote sensing at current stage, which is of great significance for wide applications as offering real estate indicators as well as monitoring urban environment. Although current photogrammetry methodologies could be applicated to 2-D remote sensing imagery for rectification with sensor parameters, multi-temporal aerial or satellite imagery is not adequate to offer spectral and textual features for building change detection. Alongside recent development of Dense Image Matching (DI

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Tian, J., L. Metzlaff, P. d’Angelo, and P. Reinartz. "REGION-BASED BUILDING ROOFTOP EXTRACTION AND CHANGE DETECTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 903–8. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-903-2017.

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Automatic extraction of building changes is important for many applications like disaster monitoring and city planning. Although a lot of research work is available based on 2D as well as 3D data, an improvement in accuracy and efficiency is still needed. The introducing of digital surface models (DSMs) to building change detection has strongly improved the resulting accuracy. In this paper, a post-classification approach is proposed for building change detection using satellite stereo imagery. Firstly, DSMs are generated from satellite stereo imagery and further refined by using a segmentatio

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de Gélis, I., S. Lefèvre, and T. Corpetti. "3D URBAN CHANGE DETECTION WITH POINT CLOUD SIAMESE NETWORKS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 29, 2021): 879–86. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-879-2021.

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Abstract. As the majority of the earth population is living in urban environments, cities are continuously evolving and efficient monitoring tools are needed to retrieve and classify their evolution. In this context, analysing changes between two dates is a crucial point. In urban environments, most changes occur along the vertical axis (with new construction or demolition of buildings) and the use of 3D data is therefore mandatory. Among them, LiDAR constitutes a valuable source of information. However, With the difficulty of processing sparse and unordered 3D point clouds, most of existing m

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S. Bhagat, Vijay. "Use of Remote Sensing Techniques for Robust Digital Change Detection of Land: A Review." Recent Patents on Space Technology 2, no. 2 (2012): 123–44. http://dx.doi.org/10.2174/1877611611202020123.

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