2020
DOI: 10.35940/ijeat.c5556.029320
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Identifying Land Usage from Aerial Image using Feature Fusion of Thepade’s Sorted n-ary Block Truncation Coding and Bernsen Thresholding with Ensemble Methods

Sudeep D. Thepade,
Piyush R Chaudhari,
Rik Das

Abstract: Automatic Land Usage Identification is one of the most demanded research areas in Remote Sensing. One of the primitive sources for Land Usage Identification is Aerial images. Automatic Land Usage Identification is implemented by exploring different feature extraction methods whereas, these features are categorized into local and global content description of image. Fusion of local and global features may be a potential approach for land usage identification. Accordingly, the major contribution of work presente… Show more

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Cited by 7 publications
(5 citation statements)
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“…Dalam penelitian ini digunakan metode yang relatif jarang digunakan yaitu metode Bernsen. Metode Bernsen juga termasuk ke dalam metode Local Adaptive Thressholding [10]. Salah satu penelitian yang menggunakan metode Bernsen adalah "Implementation of Bernsen's Locally Adaptive Binarization Method for Grayscale Images".…”
Section: Jurnal Sistem Informasi Dan Telematika (Telekomunikasi Multi...unclassified
See 1 more Smart Citation
“…Dalam penelitian ini digunakan metode yang relatif jarang digunakan yaitu metode Bernsen. Metode Bernsen juga termasuk ke dalam metode Local Adaptive Thressholding [10]. Salah satu penelitian yang menggunakan metode Bernsen adalah "Implementation of Bernsen's Locally Adaptive Binarization Method for Grayscale Images".…”
Section: Jurnal Sistem Informasi Dan Telematika (Telekomunikasi Multi...unclassified
“…Metode Bernsen adalah teknik Local Adaptive Thressholing yang digunakan untuk pengolahan citra digital [10]. Pada penelitian yang lain , metode Bernsen didefinisikan sebagai teknik binarisasi adaptif lokal yang sering digunakan untuk ekstraksi fitur dari gambar grayscale [16].…”
Section: Metode Bernsenunclassified
“…In [13], S. D. Thepade et al evaluates the use of pretrained DCNN models and their integration with Thepade SBTC 10-ary features to enhance the accuracy of ML classifiers [14] for human face presentation threat detection, which is a crucial area of research in contact-free identification. These results indicate that this approach can enhance the performance of Face Presentation Attack Detection systems.…”
Section: Literature Surveymentioning
confidence: 99%
“…Therefore in recent years, hacking of web servers has dramatically increased (3). This causes more and more companies or organizations to require security in maintaining web servers (4,5). However, with this development and convenience, it becomes the biggest threat if the security aspect is not given special attention (6, 7).…”
Section: Introductionmentioning
confidence: 99%