Results 41 to 50 of about 4,872 (167)

Underwater Hyperspectral Target Detection with Band Selection

Remote Sensing, 2020
Compared to multi-spectral imagery, hyperspectral imagery has very high spectral resolution with abundant spectral information. In underwater target detection, hyperspectral technology can be advantageous in the sense of a poor underwater imaging ...
Xianping Fu, Xiaodi Shang, Xudong Sun, Haoyang Yu, Meiping Song, Chein-I Chang   +5 more
doaj   +1 more source

Cross-modal integration framework for soil organic matter estimation using proximal and satellite spectral data: Modeling optimization with particle size effects and spatial similarity

Geoderma
Remote sensing (RS) technology enables the rapid and accurate acquisition of soil organic matter (SOM) content, which is crucial for ensuring food security and promoting precision agriculture.
Mingchang Wang, Xingnan Liu, Yilin Bao, Jialin Cai, Liheng Liang, Yiting Fan, Hongchao Fan   +6 more
doaj   +1 more source

Field-Based High-Quality Emissivity Spectra Measurement Using a Fourier Transform Thermal Infrared Hyperspectral Imager

Remote Sensing, 2021
Emissivity information derived from thermal infrared (TIR) hyperspectral imagery has the advantages of both high spatial and spectral resolutions, which facilitate the detection and identification of the subtle spectral features of ground targets ...
Lyuzhou Gao, Liqin Cao, Yanfei Zhong, Zhaoyang Jia   +3 more
doaj   +1 more source

Fine-Scale Mangrove Species Classification Based on UAV Multispectral and Hyperspectral Remote Sensing Using Machine Learning

Remote Sensing
Mangrove ecosystems play an irreplaceable role in coastal environments by providing essential ecosystem services. Diverse mangrove species have different functions due to their morphological and physiological characteristics.
Yuanzheng Yang, Zhouju Meng, Jiaxing Zu, Wenhua Cai, Jiali Wang, Hongxin Su, Jian Yang   +6 more
doaj   +1 more source

Feasibility of Invasive Grass Detection in a Desertscrub Community Using Hyperspectral Field Measurements and Landsat TM Imagery

Remote Sensing, 2011
Invasive species’ phenologies often contrast with those of native species, representing opportunities for detection of invasive species with multi-temporal remote sensing.
Stuart E. Marsh, Aaryn D. Olsson, Willem J.D. van Leeuwen   +2 more
doaj   +1 more source

Discriminative sparse representations in hyperspectral imagery [PDF]

2010 IEEE International Conference on Image Processing, 2010
Recent advances in sparse modeling and dictionary learning for discriminative applications show high potential for numerous classification tasks. In this paper, we show that highly accurate material classification from hyperspectral imagery (HSI) can be obtained with these models, even when the data is reconstructed from a very small percentage of the ...
Alexey Castrodad, Zhengming Xing, John B. Greer, Edward Bosch, Lawrence Carin, Guillermo Sapiro   +5 more
openaire   +1 more source

Gudalur Spectral Target Detection (GST-D): A New Benchmark Dataset and Engineered Material Target Detection in Multi-Platform Remote Sensing Data

Remote Sensing, 2020
Target detection in remote sensing imagery, mapping of sparsely distributed materials, has vital applications in defense security and surveillance, mineral exploration, agriculture, environmental monitoring, etc. The detection probability and the quality
Sudhanshu Shekhar Jha, Rama Rao Nidamanuri   +1 more
doaj   +1 more source

Intelligent hyperspectral target detection for reliable IoV applications

EURASIP Journal on Wireless Communications and Networking, 2022
In recent years, hyperspectral imagery has played a significant role in IoV (Internet of Vehicles) vision areas such as target acquisition. Researchers are focusing on integrating detection sensors, detection computing units, and communication units into
Zixu Wang, Lizuo Jin, Kaixiang Yi
doaj   +1 more source

i.hyper: processing hyperspectral imagery in GRASS

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Abstract. Hyperspectral satellite missions such as EnMAP, PRISMA and Tanager have made imaging spectroscopy widely accessible, yet their heterogeneous formats, high dimensionality and demanding preprocessing requirements still hinder efficient scientific use.
Alen Mangafić, Tomaž Žagar
openaire   +2 more sources

Salient object detection in hyperspectral imagery [PDF]

2013 IEEE International Conference on Image Processing, 2013
Object detection in hyperspectral images is an important task for many applications. While most traditional methods are pixel-based, many recent efforts have been put on extracting spatial-spectral features. In this paper, we introduce Itti's visual saliency model into the spectral domain for object detection.
Jie Liang 0003, Jun Zhou 0001, Xiao Bai 0001, Yuntao Qian   +3 more
openaire   +1 more source