Analisis Pan-Sharpening untuk Meningkatkan Kualitas Spasial Citra Penginderaan Jauh dalam Klasifikasi Tata Guna Tanah
Abstract
Pan-sharpened transformation methods improve the quality of spatial resolution remote sensing imagery. This study used pan-sharpened analysis to improve the quality of image. Pan-sharpening method was used to increase spatial quality of each research object. The aims of reserach were to study image sharpening using Quickbird imagery (multispectral band and pancromatic band) and to calculate overall accuracy of land use classification base on pan-sharpened imagery classification. This study used Brovey transformation and Gram-Schmidt transformation for pan-sharpened process. The classification system used Suharyadi Classification scheme (2001) for urban areas. The results showed that Brovey transformation better than gram-schmidt transformation for the elements of texture, shape, pattern, height, and shading. Gram-Schmidt method was more suitable for the analysis concerned to its original color combination associated with the color or hue of the elements of visual interpretation. The accuracy of the study is 90.70%.
Sebagian besar proses citra pan-sharpened yang diperoleh dengan formulasi berbagai algoritma yang sudah ditentukan merupakan representasi antara hubungan karakteristik dari resolusi spektral untuk meningkatkan kualitas secara visual dari citra itu sendiri. Hasil dari beberapa citra pan-sharpened tersebut menjadikan salah satu alternative untuk analisis visual citra penginderaan jauh. Penelitian ini mencoba melakukan analisis pan-sharpened untuk mendapatkan hasil yang lebih maksimal dalam berbagai kenampakan untuk setiap tata guna tanah perkotaan. Pemanfaatan pan-sharpening untuk meningkatkan kualitas spasial dari tiap objek penelitian akan dikaji agar mendapatkan masukan dalam pengembangan metode pan-sharpening untuk klasifikasi tata guna tanah di perkotaan. Penelitian ini menggunakan metode transformasi Brovey dan Gram-Schimdt untuk proses pan-sharpened. Sistem klasifikasi yang digunakan adalah sistem Klasifikasi Suharyadi (2001) untuk daerah perkotaan. Hasil penelitian ini menunjukkan bahwa metode Brovey lebih baik dalam penyajian untuk tekstur, bentuk, pola, tinggi, dan bayangan. Metode Gram-Schimdt lebih cocok untuk analisis yang lebih mementingkan perpaduan warna (komposit) aslinya terkait dengan warna ataupun rona dalam unsur interpretasi visual. Hasil akurasi penelitian penggunaan tanah yang digunakan dalam penelitian ini sebesar 90,70%.
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References
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