• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 46
Next 10 →

URBAN AREA CLASSIFICATION IN HIGH RESOLUTION SAR BASED ON TEXTURE FEATURES

by Caihuan. Wen A, Yonghong. Zhang A, Kazhong. Deng B
"... Texture features in high resolution TerraSAR-X data were used for classification in this paper. In single band and single polarized SAR image, texture holds useful information for interpreting objects in urban area. In this paper, the gray level co-occurrence matrix (GLCM) was computed to extract te ..."
Abstract - Add to MetaCart
Texture features in high resolution TerraSAR-X data were used for classification in this paper. In single band and single polarized SAR image, texture holds useful information for interpreting objects in urban area. In this paper, the gray level co-occurrence matrix (GLCM) was computed to extract

e high resolution images for mapping plastic greenhouses

by O J. Aguilar, Manuel A. Aguilar , 2008
"... The area occupied by plastic-covered greenhouses has undergone rapid growth in recent years, currently exceeding 500,000 ha worldwide. Due to the vast amount of input (water, fertilisers, fuel, etc.) required, and output of different agricultural wastes (vegetable, plastic, chemical, etc.), the envi ..."
Abstract - Add to MetaCart
.), the environmental impact of this type of production system can be serious if not accompanied by sound and sustainable territorial planning. For this, the new generation of satellites which provide very high resolution imagery, such as QuickBird and IKONOS can be useful. In this study, one QuickBird and one IKONOS

Image Segmentation in Satellite Image using Optimal Texture Measures

by G. Viji
"... Abstract — Texture in high resolution satellite images requires substantial amendment in the conventional segmentation algorithms. In this paper, a satellite image is segmented using optimal texture measures. Satellite image used in this paper is a high resolution data which will provide more detail ..."
Abstract - Add to MetaCart
-occurrence matrix (GLCM). Four texture indices with six window sizes are obtained from satellite image. Principle Component Analysis (PCA) is applied to these texture measures. The resultant image is then compared with homogeneity texture feature image, obtained using 7×7 window. The per pixel classification

OBJECT-ORIENTED ANALYSIS OF HIGH-RESOLUTION SATELLITE IMAGES FOR INTRA-URBAN LAND COVER CLASSIFICATION: CASE STUDY IN SÃO JOSÉ DOS

by Hermann Johann, Heinrich Kux, Carolina Moutinho, Duque Pinho
"... The detailed analysis of urban regions is among those areas which most benefited from the availability of high-resolution satellite data such as e.g. IKONOS and QUICKBIRD. These data offer as well high spatial, radiometric and temporal resolution, competing with aerial photographs for several applic ..."
Abstract - Add to MetaCart
The detailed analysis of urban regions is among those areas which most benefited from the availability of high-resolution satellite data such as e.g. IKONOS and QUICKBIRD. These data offer as well high spatial, radiometric and temporal resolution, competing with aerial photographs for several

Classifying Land Development in High-Resolution Satellite Imagery Using Hybrid Structural-Multispectral Features

by Cem Ünsalan, Kim L. Boyer - IEEE Trans. Geosci. Remote Sens , 2004
"... It is well known that combining spatial and spectral information can improve land use classification from satellite imagery. Human activity on the ground, such as construction, induces changes in both the photometric structure of the image and in its spectral content owing to, primarily, changes in ..."
Abstract - Cited by 17 (3 self) - Add to MetaCart
It is well known that combining spatial and spectral information can improve land use classification from satellite imagery. Human activity on the ground, such as construction, induces changes in both the photometric structure of the image and in its spectral content owing to, primarily, changes

CONTEXT-SENSITIVE EXTRACTION OF TREE CROWN OBJECTS IN URBAN AREAS USING VHR SATELLITE IMAGES

by Juan Pablo Ardila, Valentyn A. Tolpekin, Wietske Bijker
"... Municipalities need accurate and updated inventories of urban vegetation in order to manage green resources and estimate the profit of urban forestry activities. Earlier studies using high resolution satellite images have shown that automatic tree detection in urban areas using traditional classific ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Municipalities need accurate and updated inventories of urban vegetation in order to manage green resources and estimate the profit of urban forestry activities. Earlier studies using high resolution satellite images have shown that automatic tree detection in urban areas using traditional

URBAN LAND USE MAPPING BASED ON OBJECT-BASED IMAGE ANALYSIS USING WORLDVIEW-3 SATELLITE IMAGERY

by Kanoksuk Chankon, Sanwit Iabchoon, Sangdao Wongsai
"... ABSTRACT: Land Use and Land Cover (LULC) data are important to monitor and assess environmental change. LULC classification using satellite images is a method widely used on a global and local scale especially, in urban areas that have various land cover types that are important components of the ur ..."
Abstract - Add to MetaCart
of the urban landscape and ecosystem. The objectives of this study aim to classify urban land use using WorldView-3 using very high spatial resolution satellite imagery and the Object-Based Image Analysis (OBIA) method. A decision rule set was applied to classify the WorldView-3 images in Kathu sub

EFFICIENCY OF CONTEXT-BASED ATTRIBUTES FOR LAND-USE CLASSIFICATION OF URBAN ENVIRONMENTS

by unknown authors
"... We present a study for the evaluation of the efficiency of context features in object-based land-use classification of urban environments using aerial high spatial resolution imagery and LiDAR data. Objects were defined by means of cartographic boundaries derived from the cadastral geospatial databa ..."
Abstract - Add to MetaCart
We present a study for the evaluation of the efficiency of context features in object-based land-use classification of urban environments using aerial high spatial resolution imagery and LiDAR data. Objects were defined by means of cartographic boundaries derived from the cadastral geospatial

HIGH-RESOLUTION SATELLITE IMAGERY ANALYSIS BASED ON OBJECTED-ORIENTED TECHNIQUE — THE CONTROL ZONE EXACTION IN “FOUR MOUNTAIN ” REGION OF CHONGQING FOR EXAMPLE

by Luo Lingjun, Hu Yan, He Zong
"... Mingyueshan Mountain area, is very important to accommodate ecological environment,and is called the “lung ” of Chongqing. But these limited resource is dieing out gradually in the process of urbanization and industrialization.In order to keep them from disappearing, we must make certain the distrib ..."
Abstract - Add to MetaCart
the distributing of the woodland and the impervious surface, setup corresponding control zone, and restrict human activities.This paper discusses about the extraction of woodland and impervious surface from spot5 images using the Object-oriented classification method. The high-resolution satellite images provide

QUANTIFYING SPATIAL-TEMPORAL PATTERN OF URBAN HEAT ISLAND IN BEIJING: AN IMPROVED ASSESSMENT USING LAND SURFACE TEMPERTURE TIME SERIES OBSERVATIONS FROM LANDSAT, MODIS AND CHINESE NEW SATELLITE GAOFEN-1

by Kai Liu, Hongbo Su, Xueke Li, Weimin Wang
"... ABSTRACT: The purpose of this study is to comprehensively quantify the spatial-temporal patterns of surface urban heat island (SUHI) by investigating the relationship between Land surface temperature (LST) and the land-cover types and associated landscape components in the case of Beijing, China. Th ..."
Abstract - Add to MetaCart
high spatial resolution satellite GaoFen-1 in urban thermal environments studies which were insufficiently studied previously. The impacts of four Landscape Metrics (LSMs) on urban LST were investigated on the basis of two scenes of GaoFen images acquired in 2013 summer (June 19 and August 10). Results
Next 10 →
Results 1 - 10 of 46
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University