中国科学院机构知识库网格系统: 检索

Remote sensing image scene classification with noisy label distillation 期刊论文 OAI收割
Remote Sensing, 2020, 卷号: 12, 期号: 15
作者: Zhang, Rui; Chen, Zhenghao; Zhang, Sanxing; Song, Fei; Zhang, Gang

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收藏 | 浏览/下载：30/0 | 提交时间：2021/05/11

scene classification teacher-student noisy labels knowledge distillation remote sensing images

Class-Aware Domain Adaptation for Semantic Segmentation of Remote Sensing Images 期刊论文 OAI收割
IEEE Transactions on Geoscience and Remote Sensing, 2020, 页码: DOI: 10.1109/TGRS.2020.3031926
作者: Xu QS(徐青松); Yuan X(袁鑫); 欧阳朝军

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收藏 | 浏览/下载：31/0 | 提交时间：2020/12/22

UDA semantic segmentation cross-scene and cross-spectrum remote sensing images lass-aware generative adversarial network (CaGAN) global domain alignment (GDA) class-aware domain alignment (CDA)

Bidirectional adaptive feature fusion for remote sensing scene classification 期刊论文 OAI收割
NEUROCOMPUTING, 2019, 卷号: 328, 期号: SI, 页码: 135-146
作者: Lu, Xiaoqiang; Ji, Weijun; Li, Xuelong; Zheng, Xiangtao

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收藏 | 浏览/下载：69/0 | 提交时间：2019/03/14

Bidirectional adaptive feature fusion High spatial resolution remote Sensing images Scene classification

Research on Scene Classification Method of High-Resolution Remote Sensing Images Based on RFPNet 期刊论文 OAI收割
Applied Sciences-Basel, 2019, 卷号: 9, 期号: 10, 页码: 26
作者: X.Zhang; Y.C.Wang; N.Zhang; D.D.Xu; B.Chen

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收藏 | 浏览/下载：34/0 | 提交时间：2020/08/24

convolutional neural network,ResNet,semantic information,remote,sensing images,scene classification,TensorFlow,satellite images,deep,representation,network,features,scale,Chemistry,Engineering,Materials Science,Physics

AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification 期刊论文 OAI收割
ieee transactions on geoscience and remote sensing, 2017, 卷号: 55, 期号: 7, 页码: 3965-3981
作者: Xia, Gui-Song; Hu, Jingwen; Hu, Fan; Shi, Baoguang; Bai, Xiang

收藏 | 浏览/下载：149/0 | 提交时间：2017/07/17

Aerial images benchmark scene classification

Scene text recognition by learning co-occurrence of strokes based on spatiality embedded dictionary 期刊论文 OAI收割
IET COMPUTER VISION, 2015, 卷号: 9, 期号: 1, 页码: 138-148
作者: Gao, Song; Wang, Chunheng; Xiao, Baihua; Shi, Cunzhao; Zhou, Wen

收藏 | 浏览/下载：35/0 | 提交时间：2015/09/18

character recognition dictionaries text detection scene text recognition high-level image understanding text information scene images local strokes spatiality embedded dictionary SED robust character recognition localised soft coding max pooling sparse dictionary CHARS74 K dataset ICDAR2003 dataset

Rotation and scaling invariant feature lines for image matching (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：33/0 | 提交时间：2013/03/25

Image matching has been one of the most fundamental issues computer vision over the decades. In this paper we propose a novel method based on making use of feature lines in order to achieve more robust image matching. The feature lines have the properties of rotation and scaling invariance coined RIFLT(Rotation invariant feature line transform). Experimental results demonstrate the effectiveness and efficiency of the proposed method. Compare with the famous powerful algorithm Scale Invariant Feature Transform(SIFT) the proposed method is more insensitive to noise. And for certain sequence of images which contain clear lines the proposed method is more efficiency. Using the feature lines obtained by our method it is possible to matching two scene images with different rotation angles scale and light distort. 2011 IEEE.

Scene matching based on directional keylines and polar transform (EI CONFERENCE) 会议论文 OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：27/0 | 提交时间：2013/03/25

Scene matching under complex background is a priority and difficulty in the field of computer vision it has the characteristics of rotation and scaling invariance commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes anti-light and anti-slight-distortion the image distortion exist applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation such as light and utilize the rotation-scale-invariance vectors to describe the extracted keylines change of gray levels this method includes three steps: keylines extraction perspective description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE. scaling and other differences which cause matching difficult. This paper aims to find a scene matching algorithm

Non-uniformity correction in multi-CCD imaging system (EI CONFERENCE) 会议论文 OAI收割
2010 2nd International Conference on Mechanical and Electronics Engineering, ICMEE 2010, August 1, 2010 - August 3, 2010, Kyoto, Japan
Tao M.; Ren J.

收藏 | 浏览/下载：34/0 | 提交时间：2013/03/25

The non-uniformity phenomenon exists in each channel of multi-CCD imaging systems. The factors which lead to the problem are complex. The conventional calibrating algorithms can not consider all of these factors and have poor effects. According to the characters of multi-CCD imaging systems a non-uniformity correction method based on the scene was proposed by adopting the traditional two-point correction theories. The correction coefficient of each channel image can be calculated via the linear relation between the two neighboring pixel lines in the two-channel images. Compared with the conventional two-point calibration and multi-point calibration methods contrastive calibrating results were obtained. This method does not need any standard lighted image as reference source which provides a real time way for calibrating the multi-CCD imaging systems in practical applications. 2010 IEEE.

Research on automatic multispectral images synthesis of space camera (EI CONFERENCE) 会议论文 OAI收割
Optoelectronic Imaging and Multimedia Technology, October 18, 2010 - October 20, 2010, Beijing, China
作者: Liu J.-G.; Wu X.-X.; Kong D.-Z.; Zhou H.-D.

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

Multilinear CCD Sensor was often used on space cameras to obtain multispectral images with each line representing different band channels. However images of different band channels obtained at the same time didn't coincide as there were spaces between lines. Pixel numbers to be adjusted between images of different channels varied when the space camera worked by swaying forward and backward or adjusted row transfer period to compensate image movement. An automatic multispectral images synthesis algorithm of space camera was put forward on the basis of analysis of such phenomenon. In this algorithm a new evaluation function was used to determine pixel numbers to be adjusted and the image regions of each band channel to be clipped. In this way images of different band channels could be synthesized automatically to obtain an accurate colorful image. This algorithm can be used to dispose a large mount of images from space camera directly without any manual disposal so that efficiency could be improved remarkably. In validation experiments the automatic multispectral images synthesis algorithm was applied in synthesis of images obtained from outside scene experiment of a multispectral space camera. Result of validation experiments proved that the automatic multispectral images synthesis algorithm can realize accurate multispectral images synthesis of space camera and the efficiency can be improved markedly. 2010 SPIE.