Results 181 to 190 of about 4,959 (212)

LKAFFNet: A Novel Large-Kernel Attention Feature Fusion Network for Land Cover Segmentation. [PDF]

Sensors (Basel)
Chen B, Tong A, Wang Y, Zhang J, Yang X, Im SK.   +5 more
europepmc   +1 more source

A YOLOv7-based method for crown extraction from UAV imagery. [PDF]

Sci Prog
Shen P, Xue H, Li T, Mei K, Lu Y, Luo W, Wang G, Cao HQ.   +7 more
europepmc   +1 more source

Olive Variety Classification and Prediction From 3D Morphology of Fruit and Stone: A Study Case on Five South Italy Autochthone Cultivars. [PDF]

Food Sci Nutr
Gargiulo L, Napolitano AG, Marsala SM, Di Salle A, Mele G.   +4 more
europepmc   +1 more source

Correction to “Object‐Based Image Analysis (OBIA)‐based gully erosion dynamics, sediment loading rate and sediment yield study in Lake Hawassa Subbasin, Ethiopia”

Natural Resource Modeling
openaire   +1 more source

A comparison between Pixel-based deep learning and Object-based image analysis (OBIA) for individual detection of cabbage plants based on UAV Visible-light images

Computers and Electronics in Agriculture, 2023
Kaile Yang, Houxi Zhang
exaly   +2 more sources

Salt pond detection on Sentinel 2 Satellite Imagery using Object-Based Image Analysis (OBIA) Approach

IOP Conference Series: Earth and Environmental Science, 2022
Abstract Object-based image analysis (OBIA) is an image classification that is oriented to object patterns that use image objects as the basis for processing, calculates characteristics per object, and extracts land cover information from remotely sensed images. This study aims to detect salt ponds using Sentinel 2 satellite data with an
M Darmawan, D Sutrisno, S B Agus, I Nahid, A W Rudiastuti, J Suryanta, M S Sangadji   +6 more
exaly   +2 more sources

Detection of Gully-Affected Areas by Applying Object-Based Image Analysis (OBIA) in the Region of Taroudannt, Morocco [PDF]

Remote Sensing, 2014
This study aims at the detection of gully-affected areas by applying object-based image analysis in the region of Taroudannt, Morocco, which is highly affected by gully erosion while simultaneously representing a major region of agro-industry with a high demand of arable land.
Irene Marzolff, Dirk Tiede, Thomas Blaschke   +2 more
exaly   +4 more sources

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Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective

ISPRS Journal of Photogrammetry and Remote Sensing, 2019
Abstract Image segmentation is a critical and important step in (GEographic) Object-Based Image Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly dependent on the quality of image segmentation. Segmentation has been used in remote sensing image processing since the advent of the Landsat-1 satellite. However,
Dongmei Chen
exaly   +2 more sources

High-resolution broad-scale mapping of soil parent material using object-based image analysis (OBIA) of LiDAR elevation data

Catena, 2020
Abstract Precise mapping of subsurface properties, especially soil parent material (SPM), is critical to understanding most geomorphic and hydrologic processes. Because spatial variability of the subsurface properties is highly correlated to the morphology of the earth’s surface, DEMs and aerial/satellite imagery have been used successfully for ...
Antoine Prince, Jan Franssen, Jean François Lapierre   +2 more
exaly   +2 more sources

Deep learning versus Object-based Image Analysis (OBIA) in weed mapping of UAV imagery

International Journal of Remote Sensing, 2020
Rice is the most important food crop in the world, which is meaningful to ensure the quality and quantity of rice production.
Huasheng Huang, Yubin Lan, Aqing Yang, Yali Zhang, Sheng Wen, Jizhong Deng   +5 more
openaire   +1 more source