Search Results - classification-((spatial analysis) OR (data analysis))

Spectral and spatial resolution analysis of multi sensor satellite data for coral reef mapping : Tioman Island, Malaysia. by Pradhan, Biswajeet, Kabiri, Keivan

“…For the coral reef identification, classification and analysis, Landsat ETM, SPOT and IKONOS images were collected processed and classified using hierarchical classification schemes. …”
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Multi-dimensional conditional mutual information with application on the EEG signal analysis for spatial cognitive ability evaluation by Wen, Dong, Li, Rou, Jiang, Mengmeng, Li, Jingjing, Liu, Yijun, Dong, Xianling, Saripan, M. Iqbal, Song, Haiqing, Han, Wei, Zhou, Yanhong

“…The MCMI characteristics on the Beta1–Beta2–Gamma band combination can be a biological marker for the evaluation of spatial cognition. The proposed feature extraction method based on MCMI provides a new perspective for spatial cognitive ability assessment and analysis.…”
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Land Use Land Cover Change Analysis Using Multi Spatial Data For Sungai Raya Catchment by Sopian, Mohd Idzadin Mohd

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Classification of TiungSAT-1 MSEIS Data for Land Cover Mapping with Hyperspectral Analysis Approach by Lau, Alvin Meng Shin, Hashim, Mazlan

“…The results of this study clearly indicate that hyperspectral analysis can improve classification accuracy of multi-spectral data, especially when the mixed pixels are of great concern. …”
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Integration of object-based image analysis and data mining techniques for detailes urban mapping using remote sensing by Hamedianfar, Alireza

“…This transferability analysis was performed without including any training data from the second study site and an overall accuracy of 85.16% was achieved. …”
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Hybrid approach on multi- spatiotemporal data framework towards analysis of long-lead upstream flood: a case of Niger State, Nigeria by Ndanusa, Ahmed Babalaji

“…The hybrid segment of the framework classifies flood vulnerability and performs long-lead analysis. The classification and analysis were conducted using the corrected spatial images to acquire better understanding on the interaction between the extracted features and rainfall in inducing flood as well as producing various regional flood vulnerabilities within the study area. …”
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GIS Smart Mapping Technique For Urban Spatial Pattern Analysis - A Case Study On Nibong Tebal Sub-District by Ahmad, Ramlah

“…There are five methods of spatial analysis that have been carried out, namely resampling, classification, raster-vector conversion, image cross-tabulation, and spatial pattern analysis in analyzing and detecting the urban land cover changes. …”
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Classification of autism spectrum disorder gait using machine learning classifiers based on temporal-spatial gait parameters / Che Zawiyah Che Hasan, Rozita Jailani and Nooritawati... by Che Hasan, Che Zawiyah, Jailani, Rozita, Md Tahir, Nooritawati

“…Different types of machine learning classifiers were evaluated towards devising an accurate pattern classification system. The gait data of 30 ASD children and 30 age-matched controls were obtained using a state-of-the-art 3D motion analysis during self-selected speed barefoot walking. …”
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Classification of public open spaces by Anuar, Aznamkhan, Mekhribanu, Glaudinova, Abdullah, Alias

“…The study employs a comparative analysis of existing scientific approaches, field observations, morphological examination of the urban fabric, and typologization of spatial structures. …”
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Object based image analysis of support vector machine and rule based image classification for building extraction/ Nazatul Asyikin Arham by Arham, Nazatul Asyikin

“…The main goal of this study is to demonstrate the capability of object-based image analysis (OBIA) in building extraction from high spatial remote sensing imagery. …”
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Wavelet Analysis: Comparison of Approximation and Details For Mammogram Classification by Brahim Belhaouari, samir, ibrahima, faye, Mohamed M. , Eltoukhy

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Image fusion remote sensing for the extraction of urban features / Ahmad Nadzari Yahaya by Yahaya, Ahmad Nadzari

“…OIF is a powerful technique for the analysis and visualization of urban features. Based on training samples, ETM+ multispectral and fused images were subjected to the process of Iterative Self-Organizing Data Analysis (ISODATA) techniques using maximum likelihood decision rule to derive the classification of urban features classes. …”
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Spatial attention-enhanced EEG analysis for profiling consumer choices by Panda, Debadrita, Chakladar, Debashis Das, Rana, Sudhir, Shamsudin, Mad Nasir

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Stock market classification model using sentiment analysis based on hybrid naive bayes classifiers by A. Jabbar Alkubaisi, Ghaith Abdulsattar

“…In this research, a model for stock market classification based on sentiment analysis is constructed. …”
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Field-based landcover classification using TerraSAR-X texture analysis. by Mahmoud, A., Elbialy, S., Pradhan, Biswajeet, Buchroithner, M.F.

“…The results showed that textural analysis resulted in high classification accuracy. …”
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Geomorphometric analysis of landform pattern using topographic position and ASTER GDEM by Lay, Usman Salihu, Jibrin, Gambo, Tijani, Ibrahim, Pradhan, Biswajeet

“…To achieve better results, there is a need to utilize a high spatial resolution remotely sensed DEM derived data and sensitivity analysis need to be incorporated. …”
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Performance of Sentinel-2A remote sensing system for urban area mapping in Malaysia via pixel-based and OBIA methods by Amir Tan, Adhwa, Mohd Shafri, Helmi Zulhaidi, Shaharum, Nur Shafira Nisa

“…Similarly, the highest OA of fusion images is obtained by BT of 50.35 % with SVM, followed by 65.66 % with DT. From the analysis, the use of SVM pixel-based classification for medium spatial resolution Sentinel-2A data is effective for urban mapping in Malaysia and useful for future long-term mapping applications.…”
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Improving detailed rule-based feature extraction of urban areas from WorldView-2 image and lidar data by Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi, Mansor, Shattri, Ahmad, Noordin

“…Images were classified using object-based image analysis. Pixel-based classifications using the support vector machine (SVM) and maximum likelihood (ML) methods were also tested for their abilities to use both lidar data and WV-2 imagery. …”
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An improved computational model for classification of 3D spatio temporal FMRI data by Saharuddin, Shaznoor Shakira

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Glacier mapping with object based image analysis method, case study of Mount Everest region by Thanki, Dhval, Israni, Dippal, Makwana, Ashwin

“…This paper gives an insight into the importance of Geo-spatial data and object-based image analysis method for satellite image processing. …”
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