Supervised methods of image segmentation accuracy assessment in land cover mapping
Land cover mapping via image classification is sometimes realized through object-based
image analysis. Objects are typically constructed by partitioning imagery into spatially …
image analysis. Objects are typically constructed by partitioning imagery into spatially …
GeoDMA—Geographic data mining analyst
Remote sensing images obtained by remote sensing are a key source of data for studying
large-scale geographic areas. From 2013 onwards, a new generation of land remote …
large-scale geographic areas. From 2013 onwards, a new generation of land remote …
Land-cover classification of an intra-urban environment using high-resolution images and object-based image analysis
Detailed, up-to-date information on intra-urban land cover is important for urban planning
and management. Differentiation between permeable and impermeable land, for instance …
and management. Differentiation between permeable and impermeable land, for instance …
Shape-based building detection in visible band images using shadow information
This paper introduces a novel methodology for automated detection of buildings from single
high-resolution optical images with only visible red, green, and blue bands of data. In …
high-resolution optical images with only visible red, green, and blue bands of data. In …
Interactive geospatial object extraction in high resolution remote sensing images using shape-based global minimization active contour model
G Liu, X Sun, K Fu, H Wang - Pattern Recognition Letters, 2013 - Elsevier
In this work, we propose a novel algorithm to extract geospatial objects with regular shape in
remote sensing images, using shape-based global minimization active contour model …
remote sensing images, using shape-based global minimization active contour model …
Automatic rectangular building detection from VHR aerial imagery using shadow and image segmentation
This paper introduces a novel approach for the automated detection of rectangular buildings
from monocular very high resolution (VHR) aerial images. The overall idea of this work is …
from monocular very high resolution (VHR) aerial images. The overall idea of this work is …
A learning-based resegmentation method for extraction of buildings in satellite images
M Dikmen, U Halici - IEEE Geoscience and Remote Sensing …, 2014 - ieeexplore.ieee.org
This letter introduces a new method for building extraction in satellite images. The algorithm
first identifies the shadow segments on an oversegmented image, and then neighboring …
first identifies the shadow segments on an oversegmented image, and then neighboring …
Segmentation and classification of THCs on PCBAs
D Herchenbach, W Li, M Breier - 2013 11th IEEE International …, 2013 - ieeexplore.ieee.org
The dramatic increase of electronic waste requires automatic recycling, including
technologies from machine vision. A framework for segmentation and classification of THC …
technologies from machine vision. A framework for segmentation and classification of THC …
Classification of very high-resolution remote sensing images by applying a new edge-based marker-controlled watershed segmentation method
N Kakhani, M Mokhtarzade… - Signal, Image and Video …, 2019 - Springer
Recent advances in remote sensing technology have led to the creation of many sensors
with very high spatial resolution, which enable researchers to detect and recognize earth …
with very high spatial resolution, which enable researchers to detect and recognize earth …
[PDF][PDF] 机载复杂遥感场景下特定建筑区检测跟踪算法
毕福昆， 陈禾， 师皓， 章菲菲 - 电子学报, 2016 - ejournal.org.cn
特定建筑区域的自动检测及跟踪在机载遥感视频数据处理中具有重要意义,
是非悬停机载平台面向任务对地搜寻及火控系统引导的关键技术之一. 针对实际复杂应用场景 …
是非悬停机载平台面向任务对地搜寻及火控系统引导的关键技术之一. 针对实际复杂应用场景 …