Oleh :

Dwi Ratna Sari 3512 100 069

Dosen Pembimbing :

Agung Budi Cahyono, ST., MSc., DEA

POKOK

BAHASAN

Latar Belakang

Analisa Metodologi

Hasil

SIG

Kadaster

APA ITU TRUE ORTHOPHOTO ? Kenapa dengan orthophoto ??

3 Bangunan

Analisa Visual

Luas atap Batasan Masalah

Analisa Visual

Analisa Relief displacement

Metode Resampling

Tujuan

Data

Orthophoto

Point cloud

Proses

Analisa

Digitasi Point Cloud

DTM LiDAR

True Orthophoto

Oclution Detection

Resampling

Visual

Luas

Resampling

DIGITASI

RS HERMINA

TOKO WIJAYA STASIONER

FUJI FILM

HASIL VISUAL BANGUNAN 1

1

2

3 3 1

2

SEBELUM SESUDAH

HASIL VISUAL BANGUNAN 2 BAGIAN DEPAN

1 2

SEBELUM SESUDAH

HASIL VISUAL BANGUNAN 2 BAGIAN BELAKANG

1 2

SESUDAH SEBELUM

HASIL VISUAL BANGUNAN 3

SEBELUM SESUDAH

Nama Luas

Orthophoto

Luas True

Orthophoto

∆A

Bangunan 1 1948.000 m2 1950.948 m2 2.948 m2

Bangunan 2 403.000 m2 400.759 m2 2.241 m2

108.000 m2 62.969 m2 45.031 m2

Bangunan 3 1035.000 m2 1031.864 m2 3.136 m2

Analisa Geometrik (Luas)

ANALISA RESAMPLING

Nearest Neighbour BILINEAR Cubic Convolution

Nama Nearest Neighbour Bilinear Cubic Convolution

R G B R G B R G B

Pin 1 41 37 28 36 32 22 36 31 22

Pin 2 20 18 13 26 24 20 25 23 20

Pin 3 22 21 19 22 20 19 21 20 18

Nilai RGB

Kesimpulan

Pergeseran atap mengarah pada wilayah relief

displacement.

Perbedaan luas pada bangunan , ∆A1 = 2.948 m2, ∆A2D =

2.241 m2 ∆A2b = 45.031 m2m2 dan ∆A3 = 3.136 m

2

Wilayah resampling kebalikan dari wilayah oklusi (relief displacement).

Resempling mempengaruhi bentuk derajat keabu – abuan pixel resempling

Saran

Memperhatikan ketinggian dari objek pada proses digitasi

Sebaiknya luasan yang dihitung luas dalam 3D

Menggunakan data in situ sebagai pembanding

Penelitian lebih lanjut : metode untuk mendeteksi wilayah oklusi dan metode resampling.

Pada proses Resampling sebaiknya menggunakan Nearest Neighbour

1. Amhar, F., 1998 . The Generation of True Orthophotos Using a 3D Building Model in Conjunction With a Conventional DTM. IAPRS, Vol.32, Hal.16-22.

2. Anonim.2015. Nearest Neighbor, Bilinear, and Bicubic Interpolation Methods . Tersedia di <http://www.mathworks.com/help/vision/ug/interpolation-methods.html?s_tid=gn_loc_drop#f13674> . Diakses pada tanggal 21 Januari 2016.

3. Ayman, F. Habib.2008. An Occlusion-Based Procedure for True Orthophoto Generation and LiDAR Data Classification . Digital Photogrammetry Research Group Department of Geomatics Engineering Schulich School of Engineering University of Calgary.

4. Baltsavias, E., 1999. Airborne laser scanning: existing systems and firms and other resources . ISPRS Journal of Photogrammetry and Remote Sensing, 54(2-3), Hal.164-198.

5. Bang, K. I., Ayman, F. Habib, Shin, S. W., Kim, K. O., 2007. Comparative Analysis of Alternatif Methodologies for true Orthophoto Generation from High Resolution Satellite Imagery . ASPRS 2007 Annual Conference Tampa, Florida 7-11 Mei 2007.

6. Beasy, C., 2007. LiDAR and Photogrametry. Kanada: Eagle Mapping.

REFERENSI

1. Amhar, F., 1998 . The Generation of True Orthophotos Using a 3D Building Model in Conjunction With a Conventional DTM. IAPRS, Vol.32, Hal.16-22.

2. Anonim.2015. Nearest Carter, J, Schmid, K., Waters, K., Betzhold, L., Hadley, B., Mataosky R., dan Halleran, J., 2012 . An Introduction to LiDAR Technology, Data and Applications . Amerika Serikat : NOAA Coastal Services Center.

3. Chanjae, K., 2008. Object-based Integration of Photogrametry and LiDAR Data for Accurate Reconstruction and Visualitation of Building Models . Geomatics Engineering : University of Calgary.

4. George W., 1994.Digital Image Warping. IEEE Computer Society Press, Los Alamitos,CA, USA.

5. Jie, S. and C. K. Toth. 2008 . Topographic laser ranging and scanning: principles and processing : CRC Press.

6. Mostafa, M., 2014. Sensors and Platforms for 3D Cadastres and 3D City Modeling : State of te Art and New Trends. 4th International Workshop on 3D Cadastres Dubai, United Arab Emirates 9 – 11 November 2014.

7. Nielsen, M. O., 2004 . True orthophoto generation : Technical University of Denmark, Master’s thesis, Preparatory thesis.

8. Oliveira, H.C and Galo, M. 2014. Occlusion Detection by Height Gradient for True Orthophoto Generation using LiDAR Data. Hannover,, jerman.

REFERENSI

1. Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1/W1, ISPRS Hannover Workshop 2013, 21 – 24 May 2013.

2. Rosytha, A dan Taufik, M . 2011.Studi Analisa Banjir Dengan Menggunakan Teknologi SIG di Kabupaten Bojonegoro. Seminar Nasional VII 2011 Teknik Sipil ITS Surabaya Penanganan Kegagalan Pembangunan dan Pemeliharaan Infrastruktur.

3. Smith, B . 2002 . Bicubic, Bilinear and Nearest Neighbour Image Interpolation : MUN

4. Tempfli, K .1991. DTM and Differential Modelling . Proceeding ISPRS and OE EPE Joint Workshop on Updating Digital Data by Photogrammetric Methods 15-17 September 1991 Oxford, England. Halaman 193-200.

5. Trimble .2015.Inpho . < http://www.inpho.de, July 2003>. Dikunjungi pada tanggal 20 Agustus 2015, jam 08.00.

6. Trimble.2011. Tutorial DTM Master 5.4.Germany :Trimble Germany.

7. Trimble.2011. Tutorial Orthomaster 5.4.Germany :Trimble Germany.

8. Trimble.2011. Tutorial DTM Master 5.4.Germany :Trimble Germany.

9. Trimble.2011. Tutorial DTM Master 5.4.Germany :Trimble Germany.

REFERENSI

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