Results 111 to 120 of about 2,144 (204)

Segmentation Evaluation for Object Based Remotely Sensed Image Analysis [PDF]

, 2007
Object based image analysis (OBIA) is a relatively new form of remote sensing which aims to overcome the failings of traditional pixel based techniques at providing accurate land-use classification for high resolution data.
Winstanley, Adam C., Corcoran, Padraig
core  

Comparison of boosting algorithms for land cover mapping using object-based classification

Revista de Teledetección
Object-based image analysis (OBIA) is increasingly employed to enhance land cover classification accuracy from satellite imagery. This gap is addressed by systematically evaluating three leading boosting models - Gradient Boosting (GB), Extreme Gradient ...
Ngoc Dung LUONG, Thanh Dong KHUC, Dinh Chieu VU   +2 more
doaj   +1 more source

A Spatiotemporal Ontology of Informal Settlements Using a Combination of OBIA–RF With Worldview-3 and Landsat Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
An understanding of the spatial distribution of informal settlements within a city is important for urban management decision-making and service infrastructure provision, provides useful information for planners and policymakers, and has a role in ...
Khlood Ghalibr Alrasheedi, Ashraf Dewan, Ahmed El-Mowafy   +2 more
doaj   +1 more source

An integrated semi-automated approach of Object Based Image Analysis (OBIA)–Synthetic Aperture Radar (SAR) for landslide delineation [PDF]

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesLandslide delineation is a critical task in geospatial analysis and disaster management, it requires precise and dynamic ...
Bansal, Akshay Rai
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Assessing Lightweight Folding UAV Reliability Through a Photogrammetric Case Study: Extracting Urban Village’s Buildings Using Object-Based Image Analysis (OBIA) Method

Drones
With the rapid advancement of drone technology, modern drones have achieved high levels of functional integration, alongside structural improvements that include lightweight, compact designs with foldable features, greatly enhancing their flexibility and applicability in photogrammetric applications.
Junyu Kuang, Yingbiao Chen, Zhenxiang Ling, Xianxin Meng, Wentao Chen, Zihao Zheng   +5 more
openaire   +2 more sources

Context Aware Modification on the Object Based Image Analysis

, 2015
Spectral similarities, spatial adjacencies and complex relationships between various object types lead to the recognition difficulties and ambiguities in complex urban areas.
Reinartz, Peter, Samadzadegan, Farhad, Mahmoudi, Fatemeh Tabib   +2 more
core   +1 more source

Combining OBIA, CNN, and UAV imagery for automated detection and mapping of individual olive trees

Smart Agricultural Technology
The identification of individual trees is an important research topic in forestry, remote sensing and computer vision. It represents a tool for effectively and efficiently managing and maintaining forests and orchards. However, this task is not as simple
Oumaima Ameslek, Hafida Zahir, Hanane Latifi, El Mostafa Bachaoui   +3 more
doaj   +1 more source

ANALISIS TINGKAT PERMUKIMAN KUMUH BERBASIS VISIBLE GREEN-BASED BUILT-UP INDICES (VGNIR- BI) CITRA SPOT 6 MENGGUNAKAN METODE OBJECT-BASED IMAGE ANALYSIS (OBIA) DI KOTA BANDUNG BAGIAN BARAT [PDF]

Fenomena urbanisasi yang meningkat setiap tahunnya memunculkan berbagai permasalahan salah satunya permukiman kumuh. Pemetaan karakteristik tingkat permukiman kumuh sebagai langkah awal dalam mencapai peningkatan kualitas permukiman kumuh.
Silmi Afina Aliyan, -, Riyanovita Kautsar Maulida Nisaa', -, Lili Somantri, -   +2 more
core  

Sugarcane Classification Using Spectral Signature and Object-Based Image Analysis (OBIA) in LiDAR Data Sets

International Journal of Agriculture and Environmental Science, 2019
Marife Kung Villareal, Alejandro Fernandez Tongco   +1 more
openaire   +1 more source

Deep Learning Meets Object-Based Image Analysis Tasks, challenges, strategies, and perspectives

Deep remote learning sensing, (DL) especially has gained in pixel- significant or patch-level attention appli- in cations. Despite initial attempts to integrate DL into object-based image analysis (OBIA), its full potential remains largely unexplored. In
Tan, Liqin, Yan, Ziyun, He, Guangjun, Li, Mengmeng, He, Weiqiang, Ma, Lei, Wang, Xuan, Liu, Tao, Wang, Ruikun, Blaschke, Thomas, Lu, Heng   +10 more
core   +1 more source