Digital Surface Model

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isprsannals II 3 W4 165 2015

isprsannals II 3 W4 165 2015

For many remote sensing applications it is beneficial or even mandatory to have a digital terrain model (DTM) in addition to a digital surface model (DSM) for the region of interest. Having information of object and ground height allows to generate a normalized digital surface model (nDSM), representing the relative height above ground. Such products further can be employed to calculate e.g. the forest height and thus its biomass (Hyyppä et al., 2000) or the height of buildings and other man- made structures (Yu et al., 2010; Steinnocher et al., 2014). While it is a standard procedure to extract a DTM from airborne LiDAR data, this is not the case for DSMs derived from satellite stereo data. With upcoming novel satellites holding high- resolution optical sensors, which provide the ability to capture stereo or even tri-stereo imagery, the question arises if stereo- based DSMs could replace LiDAR data for certain applications (Durand et al., 2013; Jacobsen, 2013). However, when relative height information is needed, a suitable algorithm that is able to generate a DTM purely from the DSM needs to be available. This work aims to present a DTM extraction approach that is especially suited for DSMs that are generated by a state-of-the- art photogrammetric workflow from very-high-resolution satellite stereo or tri-stereo images. One constraint of such DSMs is that 3D breaklines in such DSMs are not always clearly defined, which can be traced back to occluded areas that cannot be reconstructed. The underlying idea is to extend the algorithm of (Meng et al., 2009), which is designed for LiDAR data, to be slope dependent and to be really multi-directional, i.e. 8-directional to span the 2D image space. A focus nonetheless is put onto simplicity, robustness and computational efficiency to follow integration needs into automatic end-to-end workflows.
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isprsarchives XXXIX B4 149 2012

isprsarchives XXXIX B4 149 2012

The first part of the UltraMap v3 is the generation of a digital surface model. Semi-global matching is a known technique in the photogrammetry community. In 2011, Heiko Hirschmueller (Hirschmueller, 2011) presented a good overview about the semi-global matching strategy including different applications. His approach can be seen as the current state-of-the-art technique for processing aerial imagery. Another comparable approach in the computer vision community can be found in Klaus et al. (Klaus, Sormann, & Karner, 2006). This method was leading the Middleburry stereo evaluation ranking for a long period of time (http://vision.middlebury.edu/stereo/eval/) . Related research in the field of ortho image mosaic generation can be found in the area of visual analysis, which has been well studied in computer graphics, computer vision and photogrammetry. Amhar et al. (Amhar & Ecker, 1996) proposed a methodology, which is based on photogrammetric principles to create DSMOrtho images from digital terrain models. Korytnik et al. (Korytnik, Kuzmin, & Long, 2004) proposed a polygon-based approach for the detection of occluded areas during the DSMOrtho image generation. In contrast to the method of Korytnik et al., most of other existing DSMOrtho image generation approaches are based on the Z- buffer algorithm, e.g. Chen et al. (Chen, Rau, & Chen, 2002) and Zhou (Zhou, 2004). Another closely related research is the well-studied problem of image stitching and compositing by Uyttendaele et.al. (Uyttendaele, Eden, & Szeliski, 2006), (Uyttendaele, Szeliski, & Steedly, 2011). Uyttendaele et al. propose a graph cut based approach for finding seams between overlapping areas and furthermore apply Poisson blending for compositing the final image.
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isprs archives XLI B4 157 2016

isprs archives XLI B4 157 2016

A new global digital surface model (DSM) dataset using the data acquired by the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) onboard the Advanced Land Observing Satellite (ALOS, nicknamed “Daichi”) was launched by the Japan Aerospace Exploration Agency (JAXA) in collaboration with commercial partners NTT DATA Corp. and Remote Sensing Technology Centre of Japan (RESTEC) in 2013. This project is named “ ALOS World 3D ” (AW3D), and the dataset created consists of fine resolution DSM (0.15 arcsec., approx. 5 m) and ortho-rectified image (ORI, approx. 2.5 m resolution) of PRISM in global terrestrial area within +/-80 deg. latitude regions. It was used approx. 3 million scenes of PRISM acquired from 2006 to 2011 that corresponding to ALOS ’ s mission life. AW3D version 1 was completed on March 2016, and it is distributing by NTT DATA and RESTEC in commercial bases.
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Conference paper

Conference paper

Detection of buildings and vegetation, and even more reconstruction of urban terrain from sequences of aerial images and videos is known to be a challenging task. It has been established that those methods that have as input a high-quality Digital Surface Model (DSM), are more straight-forward and produce more robust and reliable results than those image-based methods that require matching line segments or even whole regions. This motivated us to develop a new dense matching technique for DSM generation that is capable of simultaneous integration of multiple images in the reconstruction process. The DSMs generated by this new multi-image matching technique can be used for urban object extraction. In the first contribution of this paper, two examples of external sources of information added to the reconstruction pipeline will be shown. The GIS layers are used for recognition of streets and suppressing false alarms in the depth maps that were caused by moving vehicles while the near infrared channel is applied for separating vegetation from buildings. Three examples of data sets including both UAV-borne video sequences with a relatively high number of frames and high-resolution (10cm ground sample distance) data sets consisting of (few spatial-temporarily diverse) images from large-format aerial frame cameras, will be presented. By an extensive quantitative evaluation of the Vaihingen block from the ISPRS benchmark on urban object detection, it will become clear that our procedure allows a straight-forward, efficient, and reliable instantiation of 3D city models.
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isprsarchives XL 1 W2 163 2013

isprsarchives XL 1 W2 163 2013

The UAS imagery were processed using different software packages. The first group (LPS ATE V9.1, SOCET SET V5.5) are designed for the standard aerial photogrammetry case. With each package, a digital surface model (DSM) was generated. For the tests, the pit heap was covered with 16 ground control points, measured by differential GPS and each signalized by a checkboard like pattern.

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Conference paper

Conference paper

Towards this purpose, StripMap mode spatial data of TSX, acquired with 3m resolution was employed and a digital surface model was generated in Barcelona, Spain, with 10m grid spacing applying complex interferometric processing steps and validated in two separate areas including different terrain formations. One of these areas was large part of Barcelona with steep and mountainous topography reaches up to 1100 meter altitude. Other area was the urban part of the city with smoother terrain and the maximum altitude is 250m.
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isprs archives XLII 1 W1 23 2017

isprs archives XLII 1 W1 23 2017

The Ziyuan-3 (ZY-3) satellite, as the first civilian high resolution surveying and mapping satellite in China, has a very important role in national 1:50,000 stereo mapping project. High accuracy digital surface Model (DSMs) can be generated from the three line-array images of ZY-3, and ZY-3 DSMs of China can be produced without using any ground control points (GCPs) by selecting SRTM (Shuttle Radar Topography Mission) and ICESat/GLAS (Ice, Cloud, and land Elevation Satellite, Geo-science Laser Altimeter System) as the datum reference in the Satellite Surveying and Mapping Application Center, which is the key institute that manages and distributes ZY-3 products. To conduct the vertical accuracy evaluation of ZY-3 DSMs of China, three representative regions were chosen and the results were compared to ICESat/GLAS data. The experimental results demonstrated that the root mean square error (RMSE) elevation accuracy of the ZY-3 DSMs was better than 5.0 m, and it even reached to less than 2.5 m in the second region of eastern China. While this work presents preliminary results, it is an important reference for expanding the application of ZY-3 satellite imagery to widespread regions. And the satellite laser altimetry data can be used as referenced data for wide-area DSM evaluation.
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DETERMINISTIC CONTACT ANALYSIS OF ROUGH SURFACE USING FINITE ELEMENT METHOD - Diponegoro University | Institutional Repository (UNDIP-IR) BAB III RS

DETERMINISTIC CONTACT ANALYSIS OF ROUGH SURFACE USING FINITE ELEMENT METHOD - Diponegoro University | Institutional Repository (UNDIP-IR) BAB III RS

At the beginning on SolidWorks, we transformed point cloud into mesh by connecting each nodal to establish rigid geometry of surface. Until this step, the surface was not completely smooth and nearly sharp on each nodal. Therefore, the next step was smoothing the surface with “Scan to 3D” tools in SolidWorks. However, this features only available on “Premium Office” series. This method will generate mesh into solid surface and change its geometry to be perfectly smooth as shown in Figure 3.12.

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ANALISIS KERUNTUHAN BENDUNGAN PACAL DAM BREAK ANALYSIS OF PACAL DAM

ANALISIS KERUNTUHAN BENDUNGAN PACAL DAM BREAK ANALYSIS OF PACAL DAM

Dam break = Keruntuhan bendungan Digital elevation Model DEM = Data digital yang menggambarkan geometri dari bentuk permukaan bumi yang terdiri dari serangkaian titik-titik koordi[r]

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PENGEMBANGAN PERPUSTAKAAN DIGITAL BAHASA INDONESIA UNTUK MENINGKATKAN LITERASI INFORMASI SISWA SMA DI BANDARLAMPUNG

PENGEMBANGAN PERPUSTAKAAN DIGITAL BAHASA INDONESIA UNTUK MENINGKATKAN LITERASI INFORMASI SISWA SMA DI BANDARLAMPUNG

Model pengembangan merupakan proses desain konseptual dalam upaya peningkatan fungsi dari model yang telah ada sebelumnya, melalui penambahan komponen pembelajaran yang dianggap dapat meningkatkan kualitas pencapaian tujuan (Sugiarta 2007: 11). Pengembangan model dapat diartikan sebagai upaya memperluas untuk membawa suatu keadaan atau situasi secara berjenjang kepada situasi yang lebih sempurna atau lebih lengkap. Pengembangan ini diarahkan pada suatu program yang telah atau sedang dilaksanakan menjadi pogram yang baik. Sejalan dengan pendapat Adimiharja dan Hikmat (2001) dalam Sugiarta (2007:24) mengemukakan bahwa pengembangan meliputi kegiatan mengaktifkan sumber, memperluas kesempatan, mengakui keberhasilan, dan mengintegrasi kemajuan. Pengembangan model baru disusun berdasarkan pengalaman pelaksanaan program yang baru dilaksanakan, kebutuhan individu atau kelompok, dan disesuaikan dengan perkembangan dan perubahan lingkungan belajar.
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Complex surface formation Model on Chitosan Adsorption to metals, ICMNS2006.

Complex surface formation Model on Chitosan Adsorption to metals, ICMNS2006.

Adsorptive character between of chitosan to metals ion can be determine by plotting metal ion concentrates in equilibrium to adsorptive capacity. Langmuir’s isotherm shows monolayer formation at the surface. Freundlich’s isotherm shows complex multilayer formation at the surface. There are more than one active functional group at the surface.

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MODEL SISTEM EXECUTIVE DIGITAL DASHBOARD

MODEL SISTEM EXECUTIVE DIGITAL DASHBOARD

monitoring, constant reminding, e-leadership. Komponen teknologi pendukung seperti hardware, software, sistem, network, node, dan elemen lainnya dibutuhkan untuk mengembangkan sistem EDDU yang akan dikembangkan. Komponen teknologi pendukung yang dibutuhkan sistem EDDU diilustrasikan pada model arsitektur fisik sistem berbentuk deployement diagram (Gambar 4). Hardware pada sistem EDDU diantaranya: server, router atau perangkat lain sejenis, node, dan perangkat hardware lainnya. Software terdiri dari: operating system, data base management systems (DBMS), bahasa pemrograman, aplikasi pendukung, dan program sistem EDDU. Sistem EDDU ditempatkan pada node tersendiri, sementara data yang digunakan ada di sistem data warehouse. Hal ini menjadi alasan rancangan basis data untuk sistem EDDU tidak perlu dibuat. Sistem EDDU yang dikembangkan berelasi dan memerlukan dukungan aplikasi lain dan data yang ada di data warehouse.
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Model Bisnis Penyiaran Televisi Digital

Model Bisnis Penyiaran Televisi Digital

Migrasi penyiaran televisi analog ke teknologi penyiaran televisi digital membawa perubahan yang radikal dalam industri penyiaran. Konvergensi media dalam penyiaran televisi digital menjadi semakin tajam dan intensif. Konvergensi media ini mengakibatkan berkembangnya model bisnis yang sama sekali baru. Model bisnis penyiaran televisi digital yang baru perlu diantisipasi sejak dini dengan studi yang mendalam mengenai banyak hal yang terkait dengan industri penyiaran. Implikasi sosial, ekonomi, politik bahkan budaya sangat besar dalam model bisnis yang baru ini. Penelitian ini menggunakan pendekatan sosio-technical dalam mencermati perkembangan baru ini. Pendekatan sosio-technical melihat interrelasi antara ketiga subsistem sekaligus yaitu subsistem teknologi (berupa infrastruktur, pelayanan, aplikasi) subsistem sosial (pasar, pelanggan dan industri) dan susbsistem lingkungan yang berupa regulasi, kebijakan dan masyarakat. Dalam memperoleh data penelitian ini menggunakan teknik:konsultasi, focus group discusion , kuesioner dan studi kebijakan. Hasil penelitian ini menemukan bahwa model bisnis hrs mempertimbangkan daya dukung ekonomi masyarakat lokal yang pada gilirannya akan berpengaruh pada iklan sebagai sumber daya hidup stasiun televisi. Sementara itu untuk TVRI, dibutuhkan model bisnis tersendiri yang mampu mengem-bangkan TVRI sebagai stasiun televisi yang mampu memberi jawaban bagi kebutuhan penonton akan televisi. TVRI juga dapat sebagai Multiplekser dengan catatan, TVRI juga harus bersedia menampung televisi komunitas yang berjangkauan terbatas.
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IDENTIFIKASI POTENSI SUMBER AIR PERMUKAAN DENGAN MENGGUNAKAN DEM ( DIGITAL ELEVATION MODEL) DI KABUPATEN LEMBATA PROVINSI NUSA TENGGARA TIMUR Identification of Potential Surface Water Sources Using Dem (Digital Elevation Model) in the district of East Nus

IDENTIFIKASI POTENSI SUMBER AIR PERMUKAAN DENGAN MENGGUNAKAN DEM ( DIGITAL ELEVATION MODEL) DI KABUPATEN LEMBATA PROVINSI NUSA TENGGARA TIMUR Identification of Potential Surface Water Sources Using Dem (Digital Elevation Model) in the district of East Nus

Pengukuran debit aktual pada Tabel 2 dilakukan di Desa Boalangu Kecamatan Nubatukan dengan nilai debit sebesar 1,2000 m³/ dtk. Sedangkan nilai selisih debit terkecil antara debit aktual dengan debit keluaran model sebesar 0,000026 dengan faktor pengali 1,3192. Hal ini berarti nilai pengali yang digunakan untuk mengalikan nilai koefisien runoff yang digunakan saat simulasi adalah 1,3192. Proses kalibrasi bertujuan untuk mendapatkan nilai Q yang mendekati kebenaran sehingga nilai C setelah dikalibrasi ditunjukkan pada Tabel 3.
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Morphological Processsing pada Citra Hasil Ultrasonography (USG) Tersegmentasi - Diponegoro University | Institutional Repository (UNDIP-IR)

Morphological Processsing pada Citra Hasil Ultrasonography (USG) Tersegmentasi - Diponegoro University | Institutional Repository (UNDIP-IR)

Ada beberapa hal yang penting di dalam pengolahan citra digital, antara lain teknik – teknik pangambilan citra, model citra digital, sampling dan kuantisasi, threshold, histogram, proses filtering, perbaikan citra sampai pada pengolahan citra digital yang lebih lanjut seperti segmentasi, image clustering, dan ekstrasi ciri. [Basuki, 2005]

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Silabus & RPKPS Digital Model dan Rendering.

Silabus & RPKPS Digital Model dan Rendering.

Standar Kompetensi :Dengan mempelajari mata kuliah inidiharpkan mahasiswa dapat memahami digital model dan rendering dan mampu mengimplementasikannya di dunia industri Pertemuan ke : K[r]

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BAB 1 PENDAHULUAN  ANALISIS SETTING PARAMETER YANG OPTIMAL UNTUK MENDAPATKAN JUMLAH CACAT PANEL MINIMUM DENGAN DESAIN EKPERIMEN 33 FACTORIAL DI PT. AMEYA LIVING STYLE INDONESIA.

BAB 1 PENDAHULUAN ANALISIS SETTING PARAMETER YANG OPTIMAL UNTUK MENDAPATKAN JUMLAH CACAT PANEL MINIMUM DENGAN DESAIN EKPERIMEN 33 FACTORIAL DI PT. AMEYA LIVING STYLE INDONESIA.

Setelah didapatkan model regresi dari perhitungan terhadap data respon, langkah selanjutnya adalah melakukan pengujian terhadap model regresi yang terbentuk. Adapun uji yang dilakukan terhadap model regresi adalah uji faktor secara serentak (simultan), uji faktor secara individu (parsial), dan Lack of Fit. Uji ini dilakukan untuk mengetahui apakah faktor - faktor yang dipilih dalam penelitian ini benar - benar berpengaruh signifikan terhadap respon yang diukur yaitu jumlah cacat panel.

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Studi Deskriptif Mengenai Learning Approach pada Mahasiswa yang Sedang Mengambil Mata Kuliah PPLK di Universitas Kristen Maranatha Bandung.

Studi Deskriptif Mengenai Learning Approach pada Mahasiswa yang Sedang Mengambil Mata Kuliah PPLK di Universitas Kristen Maranatha Bandung.

Berdasarkan tabel 4.1.2.3 diperoleh hasil sebanyak 5 mahasiswa (55,56%) yang menggunkan pendekatan belajar surface apporach didasari oleh surface motif dan ditunjang dengan surface strategy dalam belajarnya. Hal ini terkait dengan locus of control eksternal yaitu ketidak inginan mahasiswa untuk mengulang mata kuliah PPLK membuat mereka berusaha untuk mempelajari mata kuliah PPLK. Selain itu peran dosen yang dirasakan tidak memotivasi mereka untuk mempelajari mata kuliah PPLK sehingga dalam belajarn mereka tidak berusaha untuk memahami materi yang diajarkan. Faktor yang mempengaruhi lainnya seperti conception of learning yang hanya hanya ingin menambah ilmu pengetahuan dan applaying yaitu dalam proses belajarnya mahasiswa berusaha untuk menerapkan ilmu yang telah dipelajari. (lampiran IV,tabel 4.4.1).
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PENGEMBANGAN MULTIMEDIA PEMBELAJARAN KOMUNIKATIF DAN INTERAKTIF PADA KOMPETENSI BUKU DIGITAL MATA PELAJARAN SIMULASI DIGITAL KELAS X SMK NEGERI 2 PENGASIH.

PENGEMBANGAN MULTIMEDIA PEMBELAJARAN KOMUNIKATIF DAN INTERAKTIF PADA KOMPETENSI BUKU DIGITAL MATA PELAJARAN SIMULASI DIGITAL KELAS X SMK NEGERI 2 PENGASIH.

Dengan memperhatikan beberapa permasalahan di atas, penulis akan mencoba untuk mengembangkan sebuah multimedia pembelajaran komunikatif dan interaktif berbantuan komputer dengan menggunakan Adobe Flash . Karena media pembelajaran yang akan dikembangkan memerlukan interaksi dari penggunanya dalam hal ini adalah siswa, maka media pembelajaran akan mengarahkan dan memberikan rangsangan. Rangsangan tersebut dapat memicu motivasi belajar dan ketertarikan siswa terhadap materi yang akan disampaikan. Selain itu media pembelajaran yang dikembangkan diharapkan dapat menjadi media bantu guru dalam menyampaikan materi pada kompetensi Buku Digital mata pelajaran Simulasi Digital. Oleh sebab itu, penulis bermaksud mengadakan penelitian dengan judul: “Pengembangan Multimedia Pembelajaran Komunikatif dan Interaktif
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isprsarchives XL 2 W2 19 2013

isprsarchives XL 2 W2 19 2013

3D Laser Scanning Technology has emerged as the most innovative method and much research is devoted to developing automatic algorithms for 3D reconstruction (i.e. Arayici, 2007, Kang et al 2007), however, many public buildings (mostly tourist attractions) have been scanned from inside, but most of them modeled manually. In fact, such approaches are gathering geometric information about building façades and are not commonly used to acquire information from indoor spaces. During Istanbul City Model generation, 3D Laser Scanning technology was used to generate the point clouds of key buildings of the city such as old palaces, mosques. In addition, geometric information regarding the other city objects at historical squares was also acquired by this method. The point clouds generated as a result of a 3D Laser Scan were then transformed into 3D building models semi-automatically by using specialized software and then edited using CAD and BIM packages. Semantic information was then i.) acquired from cadastral and municipality databases or ii.) input manually to populate the attributes of the city objects and building models. Figure 5 presents a partial view of LOD 2 model. Roof shapes are derived from LIDAR data.
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