Search results for: Jiangye Yuan

Items from 1 to 13 out of 13 results

chapter

Hashed binary search sampling for convolutional network training with large overhead image patches

Dalton Lunga, Lexie Yang, Jiangye Yuan, Budhendra Bhaduri

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) > 767 - 770

IGARSS 2017 - 2017 IEEE International Geoscience and Remote Sensing Symposium

Very large overhead imagery associated with ground truth maps has the potential to generate billions of training image patches for machine learning algorithms. However, random sampling selection criteria often leads to redundant and noisy-image patches for model training. With minimal research efforts behind this challenge, the current status spells missed opportunities to develop supervised learning...

chapter

Toward country scale building detection with convolutional neural network using aerial images

Hsiuhan Lexie Yang, Dalton Lunga, Jiangye Yuan

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) > 870 - 873

IGARSS 2017 - 2017 IEEE International Geoscience and Remote Sensing Symposium

Establishing up-to-date nationwide building maps is essential to understand urban dynamics, such as estimating population and urban planning and many other applications. However, an efficient and effective solution is yet to be developed. In this paper, for the first time we evaluate three state-of-the-art CNNs for detecting buildings across entire United States using aerial images. The three CNN...

chapter

Large-scale solar panel mapping from aerial images using deep convolutional networks

Jiangye Yuan, Hsiu-Han Lexie Yang, Olufemi A. Omitaomu, Budhendra L. Bhaduri

2016 IEEE International Conference on Big Data (Big Data) > 2703 - 2708

2016 IEEE International Conference on Big Data (Big Data)

Up-to-date maps of installed solar photovoltaic panels are a critical input for policy and financial assessment of solar distributed generation. However, such maps for large areas are not available. With high coverage and low cost, aerial images enable large-scale mapping, but it is highly difficult to automatically identify solar panels from images, which are small objects with varying appearances...

article

Image feature based GPS trace filtering for road network generation and road segmentation

Jiangye Yuan, Anil M. Cheriyadat

Machine Vision and Applications > 2016 > 27 > 1 > 1-12

We propose a new method to infer road networks from GPS trace data and accurately segment road regions in high-resolution aerial images. Unlike previous efforts that rely on GPS traces alone, we exploit image features to infer road networks from noisy trace data. The inferred road network is used to guide road segmentation. We show that the number of image segments spanned by the traces and the trace...

article

Factorization-Based Texture Segmentation

Jiangye Yuan, Deliang Wang, Anil M. Cheriyadat

IEEE Transactions on Image Processing > 2015 > 24 > 11 > 3488 - 3497

This paper introduces a factorization-based approach that efficiently segments textured images. We use local spectral histograms as features, and construct an

$M \,\, \times \,\, N$

feature matrix using

$M$

-dimensional feature vectors in an

$N$

-pixel image. Based on the observation that each feature can be approximated by a linear combination of several representative features, we factor the...

article

Remote Sensing Image Segmentation by Combining Spectral and Texture Features

Jiangye Yuan, DeLiang Wang, Rongxing Li

IEEE Transactions on Geoscience and Remote Sensing > 2014 > 52 > 1-1 > 16 - 24

We present a new method for remote sensing image segmentation, which utilizes both spectral and texture information. Linear filters are used to provide enhanced spatial patterns. For each pixel location, we compute combined spectral and texture features using local spectral histograms, which concatenate local histograms of all input bands. We regard each feature as a linear combination of several...

chapter

Road Segmentation in Aerial Images by Exploiting Road Vector Data

Jiangye Yuan, Anil M. Cheriyadat

2013 Fourth International Conference on Computing for Geospatial Research and Application > 16 - 23

2013 4th International Conference on Computing for Geospatial Research & Application (COM.Geo)

Segmenting road regions from high resolution aerial images is an important yet challenging task due to large variations on road surfaces. This paper presents a simple and effective method that accurately segments road regions with a weak supervision provided by road vector data, which are publicly available. The method is based on the observation that in aerial images road edges tend to have more...

article

Systematic Benchmarking of Aerial Image Segmentation

Jiangye Yuan, Shaun S. Gleason, Anil M. Cheriyadat

IEEE Geoscience and Remote Sensing Letters > 2013 > 10 > 6 > 1527 - 1531

This letter presents a benchmarking study for aerial image segmentation. We construct an image data set consisting of various aerial scenes. Segmentations generated by different human subjects are used as ground truth. We analyze the consistency between segmentations from different subjects. We select six leading segmentation algorithms, which include not only the algorithms specifically designed...

article

Image segmentation using local spectral histograms and linear regression

Jiangye Yuan, DeLiang Wang, Rongxing Li

Pattern Recognition Letters > 2012 > 33 > 5 > 615-622

We present a novel method for segmenting images with texture and nontexture regions. Local spectral histograms are feature vectors consisting of histograms of chosen filter responses, which capture both texture and nontexture information. Based on the observation that the local spectral histogram of a pixel location can be approximated through a linear combination of the representative features weighted...

chapter

Image segmentation based on local spectral histograms and linear regression

Jiangye Yuan, DeLiang Wang, Rongxing Li

The 2011 International Joint Conference on Neural Networks > 482 - 488

2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose)

article

An improved WM method based on PSO for electric load forecasting

Xueming Yang, Jiangye Yuan, Jinsha Yuan, Huina Mao

Expert Systems With Applications > 2010 > 37 > 12 > 8036-8041

The fuzzy system is an important method for intelligent modelling of electric load forecasting, and how to enhance the learning and data mining ability of fuzzy system is crucial for its practical application and the improvement of the load-forecasting accuracy. In this study, a PSO-based improved Wang–Mendel (WM) method is proposed, which is a new combined modelling method based on fuzzy system and...

chapter

Automatic road extraction from satellite imagery using LEGION networks

Jiangye Yuan, DeLiang Wang, Bo Wu, Lin Yan, more

2009 International Joint Conference on Neural Networks > 3471 - 3476

2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta)

We present an automatic method for road extraction from satellite imagery. The core of the proposed method is locally excitatory globally inhibitory oscillator networks (LEGION). We decompose the road extraction task into three stages. The first stage is image segmentation by LEGION. In the second stage, we compute the medial axis of each segment and select the segments with narrow widths. The third...

article

A modified particle swarm optimizer with dynamic adaptation

Xueming Yang, Jinsha Yuan, Jiangye Yuan, Huina Mao

Applied Mathematics and Computation > 2007 > 189 > 2 > 1205-1213

This paper proposes a modified particle swarm optimization algorithm with dynamic adaptation. In this algorithm, a modified velocity updating formula of the particle is used, where the randomness in the course of updating particle velocity is relatively decreased and the inertia weight of each particle is different. Moreover, this algorithm introduces two parameter describing the evolving state of...

Filter options

Publication date

Set your own date range

INFONA - science communication portal

Search results for: Jiangye Yuan

Hashed binary search sampling for convolutional network training with large overhead image patches

Toward country scale building detection with convolutional neural network using aerial images

Large-scale solar panel mapping from aerial images using deep convolutional networks

Image feature based GPS trace filtering for road network generation and road segmentation

Factorization-Based Texture Segmentation

Remote Sensing Image Segmentation by Combining Spectral and Texture Features

Road Segmentation in Aerial Images by Exploiting Road Vector Data

Systematic Benchmarking of Aerial Image Segmentation

Image segmentation using local spectral histograms and linear regression

Image segmentation based on local spectral histograms and linear regression

An improved WM method based on PSO for electric load forecasting

Automatic road extraction from satellite imagery using LEGION networks

A modified particle swarm optimizer with dynamic adaptation

Filter options

Publication date

Publication type

Keywords

Data set

Journal

INFONA - science communication portal

Search results for: Jiangye Yuan

Add recipient

Sending message cancelled

Are you sure you want to cancel sending this message?

Send message

Filter options

Publication date

Date range setting

Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.

Publication type

Keywords

Data set

Journal

Reporting an error / abuse

Sending the report failed

Accessibility options