Results 51 to 60 of about 4,872 (167)

Attention Residual Hybrid Network for Unmanned Aerial Vehicles Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Unmanned aerial vehicle (UAV) hyperspectral images are endowed with abundant spectral information and spatial texture details, which are crucial for the precise classification and monitoring of terrestrial features.
Zhen Zhang, Linhuan Jiang, Bo-Hui Tang, Jianchen Liu, Qingwang Wang, Yabin Hu, Liang Huang, Zhitao Fu   +7 more
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Hyperspectral Imagery for Environmental Urban Planning [PDF]

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
A strong intern dynamic characterizes towns, a very high spatial heterogeneity of their elements, their 3D geometric shapes (horizontal and vertical) inducing shadows, and their large variety of materials. These characteristics make the collection of information of land surface properties and urban descriptors more delicate.
Weber, Christiane, Aguejdad, Rahim, Briottet, Xavier, Aval, Josselin, Fabre, Sophie, Demuynck, Jean, Zenou, Emmanuel, Deville, Yannick, Karoui, Moussa Sofiane, Zohra, Fatima, Gadal, Sébastien, Ouerghemmi, Walid, Mallet, Clément, Le Bris, Arnaud, Chehata, Nesrine   +14 more
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Mapping urban impervious surfaces from an airborne hyperspectral imagery using the object-oriented classification approach

MATEC Web of Conferences, 2017
The objective of this research is to explore the capabilities of the hyperspectral imagery in mapping the urban impervious objects and identifying the surface materials using an object-oriented approach.
Aguejdad Rahim, Serradj Aziz, Weber Christiane   +2 more
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Automated Labeling of Materials in Hyperspectral Imagery [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2010
We present a technique for automatically labeling segmented hyperspectral imagery with semantically meaningful material labels. The technique compares the mean signatures of each image segment to a spectral library of known materials, and material labels are assigned to image segments according to the most similar library entry.
Brian D. Bue, Erzsébet Merényi, Beáta Csathó   +2 more
openaire   +1 more source

A COMPARISON OF LIDAR REFLECTANCE AND RADIOMETRICALLY CALIBRATED HYPERSPECTRAL IMAGERY [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
In order to retrieve results comparable under different flight parameters and among different flight campaigns, passive remote sensing data such as hyperspectral imagery need to undergo a radiometric calibration.
A. Roncat, C. Briese, C. Briese, N. Pfeifer   +3 more
doaj   +1 more source

When Low Rank Representation Based Hyperspectral Imagery Classification Meets Segmented Stacked Denoising Auto-Encoder Based Spatial-Spectral Feature

Remote Sensing, 2018
When confronted with limited labelled samples, most studies adopt an unsupervised feature learning scheme and incorporate the extracted features into a traditional classifier (e.g., support vector machine, SVM) to deal with hyperspectral imagery ...
Cong Wang, Lei Zhang, Wei Wei, Yanning Zhang   +3 more
doaj   +1 more source

Precise Crop Classification Using Spectral-Spatial-Location Fusion Based on Conditional Random Fields for UAV-Borne Hyperspectral Remote Sensing Imagery

Remote Sensing, 2019
The precise classification of crop types is an important basis of agricultural monitoring and crop protection. With the rapid development of unmanned aerial vehicle (UAV) technology, UAV-borne hyperspectral remote sensing imagery with high spatial ...
Lifei Wei, Ming Yu, Yajing Liang, Ziran Yuan, Can Huang, Rong Li, Yiwei Yu   +6 more
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Explorable 3D Hyperspectral Models from Multi-Angle Gimballed LWIR Pushbroom Imagery

Remote Sensing
Hyperspectral imaging in the long-wave infrared (LWIR) range enables identification of chemical compositions and material properties, but reconstructing 3D models from gimballed pushbroom sensors remains challenging because their unique acquisition ...
Nikolay Golosov, Guido Cervone, Mark Salvador   +2 more
doaj   +1 more source

Hyperspectral imagery super-resolution by sparse representation and spectral regularization

EURASIP Journal on Advances in Signal Processing, 2011
For the instrument limitation and imperfect imaging optics, it is difficult to acquire high spatial resolution hyperspectral imagery. Low spatial resolution will result in a lot of mixed pixels and greatly degrade the detection and recognition ...
Zhao Yongqiang, Yang Jinxiang, Zhang Qingyong, Song Lin, Cheng Yongmei, Pan Quan   +5 more
doaj  

A Novel Fully Convolutional Auto-Encoder Based on Dual Clustering and Latent Feature Adversarial Consistency for Hyperspectral Anomaly Detection

Remote Sensing
With the development of artificial intelligence, the ability to capture the background characteristics of hyperspectral imagery (HSI) has improved, showing promising performance in hyperspectral anomaly detection (HAD) tasks.
Rui Zhao, Zhiwei Yang, Xiangchao Meng, Feng Shao   +3 more
doaj   +1 more source