Article Per Year (5 Year)
p-Index From 2021 - 2026
2.064
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Komputer dan Informasi Nurse Media Journal of Nursing Journal of ICT Research and Applications JOIV : International Journal on Informatics Visualization Indonesian Journal of Obstetrics and Gynecology (Majalah Obstetri dan Ginekologi Indonesia) Journal of Computer Science and Informatics Engineering (J-Cosine) Walisongo Law Review (Walrev) Makara Journal of Science Makara Journal of Technology Jurnal Sistem Informasi
Wisnu Jatmiko
Faculty Of Computer Science, Universitas Indonesia
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
MSDFF-RCNet: A Combined Multi-Structure Data Fusion Framework and Recurrent Attention for Remote Sensing Scene Classification Hestrio, Yohanes; Persada, Bayu Satria; Saragih, Frederic Morado; Kardawi, Muhammad Yusuf; Jatmiko, Wisnu; Arymurthy, Aniati Murni
Jurnal Ilmu Komputer dan Informasi Vol. 19 No. 1 (2026): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Informatio
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jiki.v19i1.1475

Abstract

Remote sensing scene classification faces significant challenges in distinguishing visually similar land-use categories due to high intraclass variation and interclass similarity in high-resolution imagery. Although deep learning approaches have shown promise, single-architecture methods often fail to capture the diverse spatial and hierarchical features required for robust scene discrimination. This study proposes MSDFF-RCNet, a multi-structure data fusion framework combined with recurrent attention mechanisms to enhance remote sensing scene classification performance. The framework integrates complementary feature representations from AlexNet, ResNet50, and DenseNet161 architectures, while the recurrent attention mechanism focuses on discriminative spatial regions for improved classification accuracy. Comprehensive experiments conducted on four benchmark datasets demonstrate substantial performance improvements over the baseline ARCNet architecture: UC Merced (43.8% to 84.9%, +41.1%), AID (63.8% to 94.4%, +30.6%), NWPU-RESISC45 (61.5% to 95.4%, +33.9%), and OPTIMAL 31 (47.3% to 87.9%, +40.6%). Statistical significance analysis confirmed the reliability of these improvements (p < 0.01), while comprehensive evaluation across precision, recall, and F1-score metrics validated the framework’s robustness. Although the multi-structure approach requires substantial computational resources (25.6× parameter increase), the consistent and significant accuracy improvements across diverse datasets demonstrate the effectiveness of complementary feature fusion for remote sensing scene classification. The proposed framework provides a valuable contribution to automated Earth observation systems that require high-precision land-use classification capabilities.
Co-Authors A. A. Krisnadhi A. Febrian Abdul Haris Abdul Haris Abdul Haris Achmad K. Harzif Agus Buono Agus Buono Agus Mulyanto Aniati Murni Arymurthy Ari Wibisono Ari Wibisono Ari Wibisono Ari Wibisono Arief Budiono Bambang Budi Siswanto Benyamin Kusumoputro Budi Wiweko Dewi Irawati Dhiemas R. Y.S. Dwi A. Suryandari F. Abka, Achmad Fazry, Lhuqita Fityan Azizi Grafika Jati H. R. Sanabila Hartanto Bayuaji Hestrio, Yohanes INDRA HERMAWAN Kardawi, Muhammad Yusuf M. Anwar Ma'sum M. S. Alvissalim Mgs M Luthfi Ramadhan Mgs M Luthfi Ramadhan Muhammad Ali Akbar, Muhammad Ali Muhammad Febrian Rachmadi, Muhammad Febrian N. W. Pambudi Nina Sevani Persada, Bayu Satria Petrus Mursanto Pius Almindu Leki Berek Prasetyawan, Purwono Prihati Yuniarlin, Prihati Putri Shaniya R. M. Mardian Raden Muharam Natadisastra Ramadhan, Mgs M Luthfi Retno A. Werdhani Rochmatullah . Rohmat Indra Borman Saragih, Frederic Morado Setiawan, I Md. Agus Siti Hadiyan Pratiwi Suryana, Muhammad Eka Triditya, Gregory Wardhana, Yulistiyan