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A Spectral Structural Approach for Building Extraction from Satellite Imageries
2018
International Journal of Advanced Remote Sensing and GIS
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Image segmentation is a prerequisite for processing of very high spatial resolution imageries. Most image segmentation methods use spectral information of an image alone for generating image objects. ...
Automatic feature extraction from high resolution satellite imagery remains an open research area in the field of remote sensing, computer vision and machine learning. ...
Image segmentation is a key and prerequisite step for processing of very high-resolution imagery. ...
doi:10.23953/cloud.ijarsg.338
fatcat:vdmbfspeuratljuplzimwdcvva
High-resolution remote sensing image segmentation based on improved RIU-LBP and SRM
2013
EURASIP Journal on Wireless Communications and Networking
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of a high-resolution remote sensing image. ...
, taking full advantage of rich spectral and texture information in high-resolution remote sensing images. ...
High-resolution remote sensing image segmentation based on improved RIU-LBP and SRM A good segmentation for high-resolution remote sensing images should take both of its spectral information and texture ...
doi:10.1186/1687-1499-2013-263
fatcat:edliwo6wmnf4ffawqxxmj4qsze
MULTI-SCALE SEGMENTATION OF HIGH RESOLUTION REMOTE SENSING IMAGES BY INTEGRATING MULTIPLE FEATURES
2017
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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In view of them, we proposes a method of multi-scale segmentation of high resolution remote sensing images by integrating multiple features. ...
Most of multi-scale segmentation algorithms are not aiming at high resolution remote sensing images and have difficulty to communicate and use layers' information. ...
INTRODUCTION Image segmentation is the premise of object-oriented high resolution remote sensing image analysis. ...
doi:10.5194/isprs-archives-xlii-1-w1-247-2017
fatcat:tnmuc35wcndndbkk43pdwbns5q
HIGH-RESOLUTION REMOTE SENSING IMAGE BUILDING EXTRACTION BASED ON MARKOV MODEL
2018
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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To solve this problem, this paper designs a high resolution remote sensing image building extraction method based on Markov model. ...
Experiments show that this method can restrain the noise of high-resolution remote sensing images, reduce the interference of non-target ground texture information, and remove the shadow, vegetation and ...
of high-resolution remote sensing images. ...
doi:10.5194/isprs-archives-xlii-3-2411-2018
fatcat:ifkbjoousng7lb36fqqz4zkrqm
Object-Based Land Cover Classification for ALOS Image Combining TM Spectral
2013
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Commission IV, WG IV/4 KEY WORDS: Object-based classification, High spatial resolution remote sensing image, Spatial mapping mechanism ABSTRACT: Land cover classification for high spatial resolution remote ...
In order to improve the accuracy of high spatial resolution remote sensing image classification, additional information should be incorporated into the classification process of high spatial resolution ...
ACKNOWLEDGMENTS This work was sponsored by the National Natural Science Foundation of China under the grant number 60972142. ...
doi:10.5194/isprsarchives-xl-7-w2-263-2013
fatcat:5q3cfgssyrdrjgnqjzhitds6da
GeoEye Image Fusion Vegetation Information Extraction Based on Blue Noise Measurement Texture
2017
IOP Conference Series: Earth and Environment
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Vegetation high-resolution image segmentation is an important kind of target, while how to fuse image by using spatial and spectral information of GeoEye image, and make effective determination of the ...
scale of vegetation texture segmentation is an important topic. ...
Along with the development of remote sensing technology, remote sensing is developed toward the trend of high spatial resolution, high time resolution, high spectral resolution, multiple platforms, multiple ...
doi:10.1088/1755-1315/67/1/012007
fatcat:pfhpoglxmndlrkhkygzyxdtg6e
Advances in Remote Sensing Extraction of Urban Roads
2021
E3S Web of Conferences
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including urban planning, road monitoring, GPS navigation, map updating, image registration, etc. extracting roads from high-resolution remote sensing satellite images is not only a challenging research ...
High resolution remote sensing images have been widely used in many fields, such as urban development planning, environmental monitoring and evaluation, and public announcement information services. ...
The application of depth learning to remote sensing image processing has been very successful, but the road extraction of high resolution remote sensing images is still in the initial stage. ...
doi:10.1051/e3sconf/202129002023
fatcat:z2r2ttauqndwze7ixugnrgfuju
A Novel Segmentation Method for High Resolution Urban Remote Sensing Image Based on Improved JSEG Algorithm
2017
International Journal of Signal Processing, Image Processing and Pattern Recognition
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The experiments adopted high resolution IKONOS and WorldView-II images, which were compared the segmented results with JSEG and WJSEG. ...
Firstly, we adopted the multi-band fusion strategy based on information entropy to obtain a unified multi-scale J-images sequence to avoid the loss of detail information caused by excessively rough image ...
Compared with medium and low resolution remote sensing images, high resolution remote sensing images have more abundant spectrum, texture and spatial context information, which are conductive to finely ...
doi:10.14257/ijsip.2017.10.7.16
fatcat:ucgxp7biizghdp3wx5hdodahsa
Recursive Texture Fragmentation and Reconstruction segmentation algorithm applied to VHR images
2009
2009 IEEE International Geoscience and Remote Sensing Symposium
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The importance of macro-textures, on the other hand, cannot be overemphasized, especially when dealing with very high resolution (VHR) remote sensing images whose resolution goes well below the meter. ...
EXTENDED ABSTRACT Texture-based segmentation is drawing an ever increasing attention, both because of its applicative importance, more and more obvious with the high resolutions available nowadays, and ...
In order to test the effectiveness of the proposed method we experimented with optical remote sensing images, with spatial resolution below the meter, and the first results are definitely promising. ...
doi:10.1109/igarss.2009.5417364
dblp:conf/igarss/GaetanoSP09
fatcat:tsnp2slv6rgy3dsnlcvve2k6fe
Advances in texture-based segmentation of high resolution remote sensing imagery
2009
2009 IEEE International Geoscience and Remote Sensing Symposium
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EXTENDED ABSTRACT High resolution remote sensing images exhibit a considerable amount of textural information at various scales, from "micro" textures (roofs, road surfaces, basic land covers, etc.) to ...
more complex "macro" structures (e.g. urban areas), which must be taken into account to address effectively the problem of image segmentation. ...
EXTENDED ABSTRACT High resolution remote sensing images exhibit a considerable amount of textural information at various scales, from "micro" textures (roofs, road surfaces, basic land covers, etc.) to ...
doi:10.1109/igarss.2009.5417361
dblp:conf/igarss/GaetanoSP09a
fatcat:3ju6xt5cmrh2rf4zw2pmyeleae
Land Cover Classification Method Oriented to Geographic National Conditions Investigation
2014
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Finally, it proposes a method that is based on high spatial resolution remote sensing imagery and can be used in engineering applications, which provides a reference method for geographic national conditions ...
Developing the project of geographic national conditions investigation is in order to obtain land cover change information which is caused by natural and human social and economic activities, and serve ...
In high resolution remote sensing images, the land covers' construction and texture are very outstanding, but spectrum character differences between different land covers are not that outstanding. ...
doi:10.5194/isprsannals-ii-4-29-2014
fatcat:7fe3vmqbdvbfrpyamrg6tnfxey
Visual Saliency Detection in High-Resolution Remote Sensing Images using Object-Oriented Random Walk Model
2022
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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(ORWVS) detection from high-resolution remote sensing images. ...
As high-resolution remote sensing images begin to integrate new characteristics such as a great volume of data, a wide variety of ground objects and a high structural complexity, traditional methods previously ...
attention. remote sensing images are not powerful enough when dealing with high-resolution remote sensing images. ...
doi:10.1109/jstars.2022.3179461
fatcat:d7zv6irkejho5ia3vvsrer532q
High-resolution Remote Sensing Image Change Detection Combined with Pixel-level and Object-level
2019
IEEE Access
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High-resolution remote sensing images are abundant in texture information, and the detection method of the change of pixel-level mainly analyzes the spectral information of the image, which has certain ...
We integrate the multi-dimensional features of high-resolution remote sensing images and use random forest classifiers to classify to obtain the pixel-level change detection results. ...
In the object-oriented segmentation part, we propose an improved semantic segmentation network structure of high-resolution remote sensing images based on the u-net network for semantic segmentation of ...
doi:10.1109/access.2019.2922839
fatcat:twdi3kn5ird2poubyd5gca4f4q
ALEXNET FEATURE EXTRACTION AND MULTI-KERNEL LEARNING FOR OBJECTORIENTED CLASSIFICATION
2018
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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for high resolution remote sensing images. ...
Taking the Google image with 0.3 meter spatial resolution in Ludian area of Yunnan Province as an example, the image segmentation object was taken as the basic unit, and the pre-trained AlexNet deep convolution ...
and classification of high resolution remote sensing images. ...
doi:10.5194/isprs-archives-xlii-3-277-2018
fatcat:rbt5rorhzrhx5clg6wi7fofoau
Road extraction from high-resolution remotely sensed panchromatic image in different research scales
2010
2010 IEEE International Geoscience and Remote Sensing Symposium
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Road extraction method based on different scales According to the characteristic of high-resolution remotely sensed image and the need of road information extraction, we give the method implementation ...
The recognition of road network from high-resolution satellite remotely sensed data using image morphological characteristics. International Journal of Remote Sensing, 2005 26(24). pp. 5493-5508. ...
doi:10.1109/igarss.2010.5649912
dblp:conf/igarss/ShenLG10
fatcat:qsppes2rb5ebllq77quye4kmly
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