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检索条件"任意字段=Conference on Image and Signal Processing for Remote Sensing XXIX"
3572 条 记 录,以下是131-140 订阅
排序:
Selection of regularization parameter based on generalized cross-validation in total variation remote sensing image restoration
Selection of regularization parameter based on generalized c...
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conference on image and signal processing for remote sensing XVI
作者: Liu, Peng Liu, Dingsheng Chinese Acad Sci Ctr Earth Observat & Digital Earth Beijing Peoples R China
In this article, we apply the total variation method to remote sensing image restoration. A new method to calculate the regularization parameter by using an improved Generalized Cross-Validation (GCV) method is propos... 详细信息
来源: 评论
A Comprehensive Analysis of Twin Support Vector Machines in remote sensing image Classification  23
A Comprehensive Analysis of Twin Support Vector Machines in ...
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23nd signal processing and Communications Applications conference (SIU)
作者: Taskin, G. Istanbul Tech Univ Deprem Muhendisligi & Afet Yonetimi Enstitusu Istanbul Turkey
Recently, a supervised classifier called twin support vector machines (twin-SVM) has been introduced, and it has been compared to classical support vector machines (SVM) on UCI dataset in terms of classification perfo... 详细信息
来源: 评论
Segmentation of remote-sensing images by artificial neural networks
Segmentation of remote-sensing images by artificial neural n...
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IEEE 12th signal processing and Communications Applications conference
作者: Ölmez, T Dokur, Z Istanbul Tech Univ Elekt & Elektron Muhendisligi Bolumu Maslak Turkey
In this study, a novel unsupervised incremental neural network is proposed for the segmentation of remote sensing images. Feature vectors are formed by the intensity of one pixel of each channel. The trainning set of ... 详细信息
来源: 评论
SEMANTIC SEGMENTATION FOR MULTI-SCENE remote sensing imageS WITH NOISY LABELS BASED ON UNCERTAINTY PERCEPTION  49
SEMANTIC SEGMENTATION FOR MULTI-SCENE REMOTE SENSING IMAGES ...
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49th IEEE International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Lyu, Xinran Zhang, Libao Beijing Normal Univ Sch Artificial Intelligence Beijing 100875 Peoples R China
As the annotation of remote sensing images requires domain expertise, it is difficult to construct a large-scale and accurate annotated dataset. image-level annotation data learning has become a research hotspot. In a... 详细信息
来源: 评论
PREDICTIVE INTERPOLATION OF remote-sensing imageS USING VECTOR QUANTIZATION
PREDICTIVE INTERPOLATION OF REMOTE-SENSING IMAGES USING VECT...
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IEEE PACIFIC RIM CONF ON COMMUNICATIONS COMPUTERS AND signal processing
作者: TAKEHANA, S KASHIMURA, M OZAWA, S Keio Univ Kanagawa Japan
Vector quantization is a developing method utilized not in image correction but in image coding. And it is based on the conception that each several intensities of pixels have no correlation. On the other side, it is ... 详细信息
来源: 评论
Thematic Information Detection for remote sensing image Using SVM Kernel Functions  5
Thematic Information Detection for Remote Sensing Image Usin...
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IEEE International conference on signal processing, Communications and Computing ICSPCC 2015
作者: Liu, Lan Li, Chengfan Yin, Jingyuan Sun, Xiankun Zhao, Junjuan Xue, Dan Shanghai Univ Sch Comp Engn & Sci Shanghai Peoples R China
Thematic information detection is an important application of remote sensing image. Support vector machine (SVM) has been widely used in MODIS remote sensing detection. However, the difficulty of SVM application is ho... 详细信息
来源: 评论
A NOVEL ENDMEMBER, FRACTIONAL ABUNDANCE, AND CONTRAST MODEL FOR HYPERSPECTRAL imageRY
A NOVEL ENDMEMBER, FRACTIONAL ABUNDANCE, AND CONTRAST MODEL ...
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IEEE International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Douglas, Scott C. LGT Corp Dallas TX 75206 USA
In multispectral and hyperspectral image analysis for remote sensing, variations in contrast due to cloud shadows and topography can cause problems in the demixing process, creating false endmembers and erroneous frac... 详细信息
来源: 评论
WEAKLY SUPERVISED SEMANTIC SEGMENTATION FOR remote sensing HYPERSPECTRAL IMAGING
WEAKLY SUPERVISED SEMANTIC SEGMENTATION FOR REMOTE SENSING H...
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IEEE International conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Moliner, Eloi Romero, Luis Salgueiro Vilaplana, Veronica Univ Politecn Cataluna Dept Signal Theory & Commun Barcelona Spain
This paper studies the problem of training a semantic segmentation neural network with weak annotations, in order to be applied in aerial vegetation images from Teide National Park. It proposes a Deep Seeded Region Gr... 详细信息
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Model for multispectral and panchromatic image fusion
Model for multispectral and panchromatic image fusion
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conference on image and signal processing for remote sensing VI
作者: Chibani, Y Houacine, A USTHB Signal Proc Lab Inst Elect Algiers 16111 Algeria
The Intensity Hue Saturation (IHS) transform is a widely used method to enhance the spatial resolution of multispectral images by substituting the Intensity component by the high resolution of the panchromatic image. ... 详细信息
来源: 评论
DESTRIPING ALGORITHM WITH L0 SPARSITY PRIOR FOR remote sensing imageS
DESTRIPING ALGORITHM WITH L0 SPARSITY PRIOR FOR REMOTE SENSI...
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IEEE International conference on image processing (ICIP)
作者: Liu, Hai Zhang, Zhaoli Liu, Sanya Liu, Tingting Chang, Yi Cent China Normal Univ Natl Engn Res Ctr E Learning Wuhan 430079 Peoples R China
remote sensing image often suffers from the common problems of stripe noise and random noise. In this paper, we present a destriping method with unidirectional gradient L0 norm and L0 sparsity priori. The major novelt... 详细信息
来源: 评论