Results 21 to 30 of about 291 (148)

An investigation of geographic object based image analysis (GEOBIA) for human settlement detection in South Africa [PDF]

Abstracts of the ICA, 2019
Abstract. The changes to the landscape are constantly occurring both naturally and human induced. One of such changes is the human settlement expansion. The ability to map human settlements is vital for variety of studies including urban development planning and management.
Ngcofe, Luncedo, Mudau, Nale
openaire   +2 more sources

Image Segmentation and Object-Based Image Analysis for Environmental Monitoring: Recent Areas of Interest, Researchers’ Views on the Future Priorities

Remote Sensing, 2020
Image segmentation and geographic object-based image analysis (GEOBIA) were proposed around the turn of the century as a means to analyze high-spatial-resolution remote sensing images.
Brian Alan Johnson, Lei Ma
doaj   +1 more source

COMPARATIVE ASSESSMENT BETWEEN PER-PIXEL AND OBJECT-ORIENTED FOR MAPPING LAND COVER AND USE [PDF]

Engenharia Agrícola, 2017
: The traditional per-pixel classification methods consider only spectral information, and may be limited. Object-based classifiers, however, also consider shape and texture, firstly segmenting the image, and then classifying individual objects.
Victor H. R. Prudente, Bruno B. da Silva, Jerry A. Johann, Erivelto Mercante, Lucas V. Oldoni   +4 more
doaj   +1 more source

Evaluating the Performance of Geographic Object-Based Image Analysis in Mapping Archaeological Landscapes Previously Occupied by Farming Communities: A Case of Shashi–Limpopo Confluence Area

Remote Sensing, 2023
The use of pixel-based remote sensing techniques in archaeology is usually limited by spectral confusion between archaeological material and the surrounding environment because they rely on the spectral contrast between features.
Olaotse Lokwalo Thabeng, Elhadi Adam, Stefania Merlo   +2 more
doaj   +1 more source

DELIMITAÇÃO DE VOÇOROCAS POR MEIO DE GEOBIA (Geographic Object Based Image Analysis) E MINERAÇÃO DE DADOS

Boletim Paranaense de Geociências, 2021
Nos tempos atuais, com as medidas ambientais em evidência, é comum a discussão sobre melhores maneiras de obter informações cartográficas sobre as áreas degradadas. já que essas, são de suma importância para a efetividade de alguns programas como: Cadastro Ambiental Rural (CAR) e o Programa de Recuperação Ambiental (PRA).As degradações do solo, do tipo
João Edson Costa Ferreira da Silva, Nívea Adriana Dias Pons, Samara Calçado de Azevedo, Camila Souza dos Anjos Lacerda   +3 more
openaire   +3 more sources

Exploring the Influence of Input Feature Space on CNN‐Based Geomorphic Feature Extraction From Digital Terrain Data

Earth and Space Science, Volume 10, Issue 5, May 2023., 2023
Abstract Many studies of Earth surface processes and landscape evolution rely on having accurate and extensive data sets of surficial geologic units and landforms. Automated extraction of geomorphic features using deep learning provides an objective way to consistently map landforms over large spatial extents.
Aaron E. Maxwell, William E. Odom, Charles M. Shobe, Daniel H. Doctor, Michelle S. Bester, Tobi Ore   +5 more
wiley   +1 more source

Automated methods for image detection of cultural heritage: Overviews and perspectives

Archaeological Prospection, Volume 30, Issue 2, Page 153-169, April/June 2023., 2023
Abstract Remote sensing data covering large geographical areas can be easily accessed and are being acquired with greater frequency. The massive volume of data requires an automated image analysis system. By taking advantage of the increasing availability of data using computer vision, we can design specific systems to automate data analysis and ...
Ariele Câmara, Ana de Almeida, David Caçador, João Oliveira   +3 more
wiley   +1 more source

Optimization of urban land-cover classification workflow based on geographic-object analysis using very-high-resolution imagery

Dyna, 2022
A recurring problem in Geographic-Object Based Image Analysis (GEOBIA) is the need to tune each one of the three phases involved in the process, segmentation, feature selection, and classification.
Deybi Libardo Mora Castañeda, Camilo Alexander León-Sánchez, Ivan Lizarazo   +2 more
doaj   +1 more source

Architecture of Deep Convolutional Encoder‐Decoder Networks for Building Footprint Semantic Segmentation

Scientific Programming, Volume 2023, Issue 1, 2023., 2023
Building extraction from high‐resolution aerial images is critical in geospatial applications such as telecommunications, dynamic urban monitoring, updating geographic databases, urban planning, disaster monitoring, and navigation. Automatic building extraction is a massive task because buildings in various places have varied spectral and geometric ...
Abderrahim Norelyaqine, Rida Azmi, Abderrahim Saadane, Tongguang Ni   +3 more
wiley   +1 more source

A modified Mask region‐based convolutional neural network approach for the automated detection of archaeological sites on high‐resolution light detection and ranging‐derived digital elevation models in the North German Lowland

Archaeological Prospection, Volume 28, Issue 2, Page 177-186, April/June 2021., 2021
Abstract Due to complicated backgrounds and unclear target orientation, automated object detection is difficult in the field of archaeology. Most of the current convolutional neural network (CNN) object‐oriented detection techniques are based on a faster region‐based CNN (R‐CNN) and other one‐stage detectors that often lack adequate processing speeds ...
Alexander Bonhage, Mahmoud Eltaher, Thomas Raab, Michael Breuß, Alexandra Raab, Anna Schneider   +5 more
wiley   +1 more source