中国科学院机构知识库网格系统: 检索

Multi-Type Change Detection and Distinction of Cultivated Land Parcels in High-Resolution Remote Sensing Images Based on Segment Anything Model 期刊论文 OAI收割
REMOTE SENSING, 2025, 卷号: 17, 期号: 5, 页码: 787
作者: Huang, Zhongxin; Yang, Xiaomei; Liu, Yueming; Wang, Zhihua; Ma, Yonggang

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收藏 | 浏览/下载：15/0 | 提交时间：2025/04/21

cultivated land parcel pattern changes segment anything model (SAM) spatial analysis multi-scale structural similarity (MS-SSIM)

Segment Anything Model Combined with Multi-Scale Segmentation for Extracting Complex Cultivated Land Parcels in High-Resolution Remote Sensing Images 期刊论文 OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 18, 页码: 3489
作者: Huang, Zhongxin

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收藏 | 浏览/下载：37/0 | 提交时间：2024/10/21

Segment Anything Model (SAM) multi-scale segmentation precise parcel extraction complex cultivated land

Robust 3D reconstruction from uncalibrated small motion clips 期刊论文 OAI收割
VISUAL COMPUTER, 2021, 页码: 17
作者: Li, Zhaoxin; Zuo, Wangmeng; Wang, Zhaoqi; Zhang, Lei

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收藏 | 浏览/下载：35/0 | 提交时间：2021/12/01

3D reconstruction Small motion Multi-view stereo Line segment PatchMatch stereo

Reconstruction of lines and planes of urban buildings with angle regularization 期刊论文 OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 165, 页码: 54-66
作者: Wang, Wei; Gao, Wei; Cui, Hainan; Hu, Zhanyi

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收藏 | 浏览/下载：44/0 | 提交时间：2020/07/20

Line segment matching Multi-model fitting 3D reconstruction Convolutional neural network

Reconstruction of lines and planes of urban buildings with angle regularization 期刊论文 OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 165, 页码: 54-66
作者: Wang, Wei; Gao, Wei; Cui, Hainan; Hu, Zhanyi

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收藏 | 浏览/下载：32/0 | 提交时间：2020/07/20

Line segment matching Multi-model fitting 3D reconstruction Convolutional neural network

Euclidean upgrading from segment lengths: DLT-like algorithm and its variants 期刊论文 OAI收割
IMAGE AND VISION COMPUTING, 2014, 卷号: 32, 期号: 2, 页码: 155-168
作者: Shi, Kunfeng; Dong, Qiulei; Wu, Fuchao

收藏 | 浏览/下载：24/0 | 提交时间：2015/08/12

DLT-like algorithm Euclidean upgrading Multi-camera calibration Segment lengths Weighted DLT-like algorithm

A line mapping based automatic registration algorithm of infrared and visible images 会议论文 OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者: Ai R(艾锐); Shi ZL(史泽林); Xu DJ(徐德江); Zhang CS(张程硕)

收藏 | 浏览/下载：41/0 | 提交时间：2013/12/26

There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.

Perception-Based Color Space for Image Segmentation Application 会议论文 OAI收割
2013 15th IEEE International Conference on Communication Technology (ICCT 2013) , Guilin, China, November 17-19, 2013
作者: Jiang M(姜迈); Liang W(梁炜); Zhang XL(张晓玲)

收藏 | 浏览/下载：33/0 | 提交时间：2013/12/26

color space color lookup tables multi-grid optimization color-difference formulas image segment k-means

High speed interpolation for micro-line trajectory and adaptive real-time look-ahead scheme in CNC machining 期刊论文 OAI收割
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2011, 卷号: 54, 期号: 6, 页码: 1481-1495
作者: Zhang LiXian; Sun RuiYong; Gao XiaoShan; Li HongBo

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收藏 | 浏览/下载：13/0 | 提交时间：2018/07/30

CNC micro-line segment multi-period turning look-ahead scheme real-time interpolation feedrate override

Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Dong Y.-X.; Zhang H.-B.; Li Y.; Li Y.; Li Y.

收藏 | 浏览/下载：116/0 | 提交时间：2013/03/25

Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms such as adaptive background prediction detecting method. When background has dispersion-decreasing structure the traditional target detection algorithms would be more useful. But when the background has large gray gradient such as sea-sky-line sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature in our opinion from the perspective of mathematics the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore the purpose of the image preprocessing is to reduce the effects from noise also to raise the SNR of image and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics the median filter is used to eliminate noise improve signal-to-noise ratio then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).