Ship Classification with High Resolution TerraSAR-X Imagery Based on Analytic Hierarchy Process

Ship surveillance using space-borne synthetic aperture radar (SAR), taking advantages of high resolution over wide swaths and all-weather working capability, has attracted worldwide attention. Recent activity in this field has concentrated mainly on the study of ship detection, but the classification is largely still open. In this paper, we propose a novel ship classification scheme based on analytic hierarchy process (AHP) in order to achieve better performance. The main idea is to apply AHP on both feature selection and classification decision. On one hand, the AHP based feature selection constructs a selection decision problem based on several feature evaluation measures (e.g., discriminability, stability, and information measure) and provides objective criteria to make comprehensive decisions for their combinations quantitatively. On the other hand, we take the selected feature sets as the input of KNN classifiers and fuse the multiple classification results based on AHP, in which the feature sets’ confidence is taken into account when the AHP based classification decision is made. We analyze the proposed classification scheme and demonstrate its results on a ship dataset that comes from TerraSAR-X SAR images.

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PENENTUAN PRIORITAS PEMILIHAN LOKASI PEMBANGUNAN PUSAT LOGISTIK BERIKAT BERDASAR ASPEK SUSTAINABILITY

Jurnal BPPK : Badan Pendidikan dan Pelatihan Keuangan ◽

10.48108/jurnalbppk.v10i1.35 ◽

2017 ◽

Vol 10 (1) ◽

pp. 51-61

Author(s):

JITU LAKSONO ◽

HENDI KRISTIANTORO

Keyword(s):

Analytic Hierarchy Process ◽

Raw Materials ◽

Main Idea ◽

Service Level ◽

Public Facility ◽

Private Company ◽

Analytic Hierarchy ◽

Logistics Center ◽

Directorate General ◽

Hierarchy Process

Pusat Logistik Berikat (PLB) adalah solusi untuk mengatasi inefisiensi pengelolaan logistik. Ide utama dari kebijakan PLB adalah untuk menempatkan gudang penimbunan ekspor dan impor barang dalam negeri. Dengan demikian, industri dalam negeri tidak perlu mengimpor lagi ketika membutuhkan bahan baku, barang modal, dan bahan pendukung. Skema PLB menempatkan Direktorat Jenderal Bea dan Cukai sebagai regulator, sedangkan pelaksana di lapangan adalah perusahaan swasta. Saat ini PLB telah didirikan di sebelas lokasi di seluruh Indonesia. Penelitian ini menggunakan Analytic Hierarchy Process (AHP) untuk menentukan prioritas pemilihan lokasi yang paling strategis dengan berdasarkan aspek sustainability untuk ditetapkan sebagai PLB. Disimpulkan bahwa prioritas utama yang harus dipertimbangkan dalam memilih lokasi yang paling strategis untuk pembangunan PLB adalah Sumber Daya Manusia. Kemudian diikuti berturut-turut dengan Service Level, Transportasi, Iklim, Landscape, Keamanan, Lalu Lintas, dan Fasilitas Publik. Bonded Logistics Center (BLC) is a solution to overcome the inefficiency of the logistics management. The main idea of the policy is to put the warehouse BLC hoarding exports and imports of goods in the country. Thus, the domestic industry does not need to import again when in need of raw materials, capital goods, and supporting materials. BLC scheme puts the Directorate General of Customs and Excise as a regulator, while executing in the field is a private company. Currently the BLC has been established in eleven locations throughout Indonesia. This study uses the Analytic Hierarchy Process (AHP) to determine the priority of the most strategic site selection on the basis of sustainability to set as BLC. It was concluded that the main priority that should be considered in selecting the most strategic locations for the construction of the BLC is Human Resources. Then followed a row with Service Level, Transport, Climate, Landscape, Security, Traffic and Public Facility.

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GIS-based fuzzy-analytic network process (FAHP), fuzzy-analytic hierarchy process (FANP) methods and feature selection algorithm (FSA) to determine earthquake-prone areas in Kermanshah Province

Environmental Earth Sciences ◽

10.1007/s12665-021-09934-7 ◽

2021 ◽

Vol 80 (18) ◽

Author(s):

Marzieh Mokarram ◽

Saeed Negahban ◽

Belkendil Abdeldjalil

Keyword(s):

Feature Selection ◽

Analytic Hierarchy Process ◽

Analytic Network Process ◽

Fuzzy Analytic Hierarchy Process ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Analytic Hierarchy ◽

Network Process ◽

Hierarchy Process ◽

Fuzzy Analytic Network Process

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K-Nearest Neighbor with K-Fold Cross Validation and Analytic Hierarchy Process on Data Classification

International Journal of Advances in Data and Information Systems ◽

10.25008/ijadis.v2i1.1204 ◽

2021 ◽

Vol 2 (1) ◽

Author(s):

Zoelkarnain Rinanda Tembusai ◽

Herman Mawengkang ◽

Muhammad Zarlis

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Analytic Hierarchy Process ◽

Cross Validation ◽

Nearest Neighbor ◽

K Nearest Neighbor ◽

Analytic Hierarchy ◽

Machine Learning Model ◽

Hierarchy Process ◽

Fold Cross Validation

This study analyzes the performance of the k-Nearest Neighbor method with the k-Fold Cross Validation algorithm as an evaluation model and the Analytic Hierarchy Process method as feature selection for the data classification process in order to obtain the best level of accuracy and machine learning model. The best test results are in fold-3, which is getting an accuracy rate of 95%. Evaluation of the k-Nearest Neighbor model with k-Fold Cross Validation can get a good machine learning model and the Analytic Hierarchy Process as a feature selection also gets optimal results and can reduce the performance of the k-Nearest Neighbor method because it only uses features that have been selected based on the level of importance for decision making.

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