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All Journal Semantik Pro Bisnis Telematika JUITA : Jurnal Informatika JOIV : International Journal on Informatics Visualization RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jambura Journal of Electrical and Electronics Engineering Community Engagement and Emergence Journal (CEEJ) TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Soft Computing Exploration Jurnal Pendidikan dan Teknologi Indonesia ACADEMIA: Jurnal Inovasi Riset Akademik Jurnal Pendidikan Sains dan Komputer Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Jurnal Ilmiah Multidisiplin Indonesia Journal of Information Technology and Cyber Security Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Siber Multi Disiplin Jejak digital: Jurnal Ilmiah Multidisiplin Jurnal Teknik Informatika dan Teknologi Informasi International Journal of Machine Learning (IJOML)
Purwadi Purwadi
Magister Ilmu Komputer, Fakultas Ilmu Komputer, Universitas Amikom Purwokerto
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Journal : joiv international journal on informatics visualization

 1 
Mixed Pixel Classification on Hyperspectral Image Using Imbalanced Learning and Hyperparameter Tuning Methods Purwadi Purwadi; Nor Azman Abu; Othman Bin Mohd; Bagus Adhi Kusuma
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.1758

Abstract

Hyperspectral image technology in land classification is a distinct advantage compared to ordinary RGB and multispectral images. This technology has a wide spectrum of electromagnetic waves, which can be more detailed than other types of imagery. Therefore, with its hyperspectral advantages, the characteristics of an object should have a high probability of being recognized and distinguished. However, because of the large data, it becomes a challenge to lighten the computational burden. Hyperspectral has a huge phenomenon that makes computations heavy compared to other types of images because this image is 3D. The problem faced in hyperspectral image classification is the high computational load, especially if the spatial resolution of the image also has mixed pixel problems. This research uses EO-1 satellite imagery with a spatial resolution of 30 meters and a mixed pixel problem. This study uses a classification method to lighten the computational burden and simultaneously increase the value of classification accuracy. The method used is satellite image pre-processing, including geometric correction and image enhancement using FLAASH while the corrections are geometric correction and atmospheric correction. Then to lighten the computational burden, the steps carried out are using the Slab and PCA method. After obtaining the characteristics, they are entered into a guided learning model using a support vector machine (SVM) for the five-class or multiclass classification. Moreover, the imbalance learning method is proven to produce increased accuracy. The best results were achieved by the ADASYN method with an accuracy of 96.58%, while the computational time became faster with the feature extraction method.
Co-Authors Abdul Jahir Adam Prayogo Kuncoro Ade Toti Febrian Adhisa Nanda Kurnia Afgha Aufan Afrizal Rifqi Dharmawan Akbar Priyanto Akto Hariawan Alya Zhafira Amelia Nur Azizah Ammar Fauzan, Ammar Andi Dwi Riyanto Andina, Anisa Nur ANNISA HANDAYANI Argiyan Dwi Pritama Arief Kurnia Ramadhani Arvita Tivanny Ellen Atiqah Noor Zhaafirah Augusta Dwi Putra Aulia Suryaning Tyas Azkyatul Mardiyah Bachtiar Mujaddidi Bagus Adhi Kusuma Bagus Adhi Kusuma Bangkit Ririatini Berlilana Berlilana De Ajeng Vien Saputri Denaya Fadilah Dendi Putra Prakoso Desi Riyanti Dhanar Intan Surya Saputra Dias Puspita Anggareni Dzaki Dwi Abdullah Ecca Andini Naretawati Fadila Nur Syifa Fairus Aufa Baharita Faras Alfito Dwi Fendi Elyon Ramadhan Ferix Aziz Susandi Fini Ikhfiani Fadilah Giat Karyono Giat Karyono Hamzah Tsabit Akdama Hendra Marcos Hidayah, Debby Ummul Ibrahim, Farrel Ika Romadoni Yunita Ilham Robbani Ilham Suryo Saputra Imam Tahyudin Imam Tahyudin Imam Tahyudin Intan Surya Saputra, Dhanar Iskoko, Angga Jaka Wijaya Kusuma jordy, Roy Jordy Juwita Septiani Kuat Indartono Lina Nur Afifah M. Syaiful Amin Mardiyanto Mardiyanto Ma`dan Shomsomi Mohammad imron Muliasari Pinilih, Muliasari Nandia Triyusvita Nevada Afryzal Sugi Alam Nasyroh Nor Azman Abu Nor Azman Bin Abu Novaneza Rasendriya Novitasani Putri Othman Bin Mohd Othman Bin Mohd Panca Ragil Prasetyo Pandu W, Muhammad Arfianto Panji Nur Sasongko Puas Triawan Puas Triawan Pungkas Subarkah Putri Oktavianingsih Putri Vidia Lestari Rahayu, Dania Gusmi Rahman Rosyidi Ratih Anggraeni Refida Putri Rehandika Priambudi Reyhan Maulana Almahi Rifqi Aziz Rohmah, Umdah Aulia Rujianto Eko Saputro Shalsa Bela Dwi Widyawati Sitaresmi Wahyu Handani Solihatun Havidah Sri Rahayu Stella Putriseptiyani Septeragil Syahdan Jamjami Vevinciya Dila Dita Wahyuni Septianingsih Widhaksa Triawan Yulia Risma Yanti Yusmedi Nurfaizal