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In this talk, we will introduce some hyperspectral image classification methods based on deep learning architecture. Recently, deep learning-based hyperspectral image classification has attracted more...
Remote sensing techniques provide efficient and cost-effective approach to monitor the expansion of built-up area, in comparison to other traditional approaches. For extracting built-up class, one of ...
Hyperspectral images (HSIs) denoising is a critical research area in image processing duo to its importance in improving the quality of HSIs, which has a negative impact on object detection and classi...
The study chooses the standard stripe and dual polarization SAR images of GF-3 as the basic data. Residential areas extraction processes and methods based upon GF-3 images texture segmentation are com...
Classification is one of the most significant applications of hyperspectral image processing and even remote sensing. Though various algorithms have been proposed to implement and improve this applica...
Python is a very popular programming language among data scientists around the world. Python can also be used in hyperspectral data analysis. There are some toolboxes designed for spectral imaging, su...
International Symposium on Multispectral Image Processing and Pattern Recognition(MIPPR) is an international academic conference orgnized by the international society for Optical Engineering (SPIE) an...
2017年探测与成像国际学术会议(ICSI 2017)定于2017年6月5日—7日在四川成都,成都信息工程大学召开。本次国际会议主要是围绕近年来在图像重建、图像复原、图像融合和生物医学成像、无损检测、遥感等领域中的热点问题和前沿研究成果进行学术交流。会议有助于推动国际间的“探测与成像理论和技术”研究的交流与合作,同时凝聚国内外专家学者的研究力量,为我国医学、工业等相关产业的发展提供新的探测与成像理...
This conference is intended to provide a forum for interchange on various algorithms, devices, systems, sensors, and architectures for novel applications in the field of 3D imaging, 3D visualization, ...
Nowadays, the use of laser scanner devices as an active technique for acquiring 3D information is growing fast. The huge amount of object points produced with less effort than other 3D acquisition t...
This paper presents a general strategy for 3D reconstruction of complex architectural scenes. This approach makes use of both laser data (range and retro-diffusion) and image data, and of their great...
The main objective of this paper is to develop a model which combines in the same process image classification and restoration. Image classification consists of assigning a label to each site of an ...
Competitive learning neural networks have been successfully used as unsupervised training methods. It provides a way to discover the salient general features that can be used to classify a set of pa...
Recently, hyperspectral image analysis has obtained successful results in information extraction for earth remote sensing system. The data produced with this type of analysis is an important compone...
At present, the calibration of airborne laser scanner data relies on the estimation of the position and attitude of the aircraft during the acquisition using GPS and INS systems, but also on the esti...

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