default search action
7th WHISPERS 2015: Tokyo, Japan
- 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015, Tokyo, Japan, June 2-5, 2015. IEEE 2015, ISBN 978-1-4673-9015-6
- Himanshu Govil
:
Prospecting for hydrothermal mineral deposits in the Himalaya using short-wave infrared spectroscopy. 1-4 - Sen Jia, Yao Xie, Linlin Shen, Lin Deng:
Hyperspectral image classification using Fisher criterion-based Gabor cube selection and multi-task joint sparse representation. 1-4 - Asad Mahmood, Amandine Robin, Michael Sears:
Modified residual method for estimation of noise statistics in hyperspectral images. 1-4 - Max Gerhards, Gilles Rock, Martin Schlerf, Thomas Udelhoven, Willy Werner:
Water stress detection using hyperspectral thermal infrared remote sensing. 1-4 - Zacharias Kandylakis, Konstantinos Karantzalos
Multiple object tracking with background estimation in hyperspectral video sequences. 1-4 - Gabriel Martín, José M. Bioucas-Dias:
Hyperspectral compressive acquisition in the spatial domain via blind factorization. 1-4 - Yi Grace Wang, Mauro Maggioni
Enhanced detection of chemical plumes in hyperspectral images and movies throughimproved backgroundmodeling. 1-4 - Poyraz Umut Hatipoglu, Levent Ozparlak:
Highly reflective plate detection from LWIR ground images. 1-5 - Taylor C. Glenn, Alina Zare
Estimating target signatures with diverse density. 1-4 - Neeraj Kumar, Saïd Moussaoui, Jérôme Idier, David Brie:
Impact of sparse representation on the admissible solutions of spectral unmixing by non-negative matrix factorization. 1-4 - Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret:
Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent method. 1-5 - Yang Hu, Sildomar T. Monteiro, Eli Saber:
Comparing inference methods for conditional random fields for hyperspectral image classification. 1-4 - Yuan Zhou, Chun Liu, Nan Li, Minzhen Li:
An Isomap-based kernerl-Knn classifier for hyperspectral data analysis. 1-4 - Athanasios Karmas, Konstantinos Karantzalos
Benchmarking server-side software modules for handling and processing remote sensing data through Rasdaman. 1-4 - Rita Ammanouil, André Ferrari, Cédric Richard:
Hyperspectral data unmixing with graph-based regularization. 1-4 - Rui Guo, Wei Wang, Hairong Qi:
Hyperspectral image unmixing using autoencoder cascade. 1-4 - Manuel Cubero-Castan, Dragos Constantin, Kevin Barbieux
A new smoothness based strategy for semi-supervised atmospheric correction: Application to the léman-Baïkal campaign. 1-4 - Alex Sumarsono, Qian Du
Hyperspectral image segmentation with low-rank representation and spectral clustering. 1-4 - Ting Wang, Hui Lin:
Sparsity-based optimal targets spectra generation method. 1-4 - Shih-Yu Chen, Yen Chieh Ouyang
Progressive endmember finding by fully constrained least squares method. 1-4 - Bus ra Ozbay, Yunus Emre Esin
Specific band ratio for vegetation indices calculation in hyperspectral images. 1-4 - Marc-Andre Gagnon, Jean-Philippe Gagnon, Pierre Tremblay, Simon Savary, Vincent Farley, Eric Guyot, Philippe Lagueux, Martin Chamberland:
Standoff midwave infrared hyperspectral imaging of ship plumes. 1-4 - Jun Li, José M. Bioucas-Dias, Antonio Plaza
Robust collaborative nonnegative matrix factorization for hyperspectra unmixing (R-CONMF). 1-4 - Yuan Zhou, Anand Rangarajan
A spatial compositional model for linear unmixing. 1-4 - Xiangchao Meng, Huanfeng Shen
Improving the spatial resolution of hyperspectral image using panchromatic and multispectral images: An integrated method. 1-4 - Zhongyi Sun, Mingmin Chi:
Superpixel-based active learning for the classification of hyperspectral images. 1-4 - Charoula Andreou, Derek M. Rogge, Benoit Rivard, Rupert Müller:
A novel approach for endmember bundle extraction using spectral space splitting. 1-4 - Jike Chen, Junshi Xia, Peijun Du, Jocelyn Chanussot:
Combining rotation forest and multi-scale segmentation for the classification of hyperspectral data. 1-4 - Wei Wang, Shuangjiang Li, Hairong Qi, Bulent Ayhan, Chiman Kwan
Identify anomaly componentbysparsity and low rank. 1-4 - Paris V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas:
Hyperspectral image unmixing via simultaneously sparse and low rank abundance matrix estimation. 1-4 - Malvina Silvestri, Massimo Musacchio, Maria Fabrizia Buongiorno
Hyperspectral data simulation data and image classification in the future earth observation asi mission framework. 1-4 - Fuping Gan, Shuneng Liang, Peijun Du, Fuxing Dang, Kun Tan
CHESRE: A comprehensive public hyperspectral experimental site and data set for resources exploration. 1-4 - Daniele Cerra, Jakub Bieniarz, Tobias Storch
Restoration of EnMAP data through sparse reconstruction. 1-4 - Hemant Kumar Aggarwal
Compressive hyper-spectral imaging in the presence of impulse noise. 1-4 - Snigdha Tariyal, Hemant Kumar Aggarwal
Hyperspectral impulse denoising with sparse and low-rank penalties. 1-4 - Hilal Soydan
A comparative study of hyperspectral anomaly and signature based target detection methods for oil spills. 1-4 - Prashanth Reddy Marpu
Object-based fusion of hyperspectral and LiDAR data for classification of urban areas. 1-4 - Jakub Bieniarz, Daniele Cerra, Xiao Xiang Zhu
Hyperspectral resolution enhancement using multisensor image data. 1-4 - Robert Sundberg, Steven M. Adler-Golden, Timothy C. Perkins, Karmon Vongsy:
Detection of spectrally varying BRDF materials in hyperspectral reflectance imagery. 1-4 - Giorgio Licciardi, Miguel Angel Veganzones, Gemine Vivone, Laëtitia Loncan, Jocelyn Chanussot:
Impact of hybrid pansharpening approaches applied to hyperspectral images. 1-4 - Frieke M. B. Van Coillie, Wenzhi Liao, Pieter Kempeneers, Kris Vandekerkhove
Optimized feature fusion of LiDAR and hyperspectral data for tree species mapping in closed forest canopies. 1-4 - Shaohui Mei, Qian Du
Endmember extraction by L2, 0 constrained sparse dictionary selection. 1-4 - Wenzhi Liao, Xin Huang, Frieke Van Coillie
Two-stage fusion of thermal hyperspectral and visible RGB image by PCA and guided filter. 1-4 - Charlotte Revel, Yannick Deville, Véronique Achard, Xavier Briottet:
A method based on nonnegative matrix factorization dealing with intra-class variability for unsupervised hyperspectral unmixing. 1-4 - Claas Grohnfeldt
Dynamic dictionary learning strategies for sparse representation based hyperspectral image enhancement. 1-4 - Alp Ertürk, Marian-Daniel Iordache
Hyperspectral change detection by sparse unmixing with dictionary pruning. 1-4 - Alan P. Schaum:
Deconstructing optimal detection algorithms. 1-4 - Wing-Kin Ma
When can the minimum volume enclosing simplex identify the endmembers correctly when there is no pure pixel? 1-4 - Vishal Saini, Ajay Kumar Patel:
Identification of craters on Lunar surface using hyperspectral chandrayan data. 1-4 - Claas Grohnfeldt
Splitting the hyperspectral-multispectral image fusion problem autonomously into weighted pan-sharpening tasks - The spectral grouping concept. 1-4 - Sandip S. Thorat, Yogesh D. Rajendra, Karbhari V. Kale
Crop and forest acreage estimation using expert system based knowledge classifier approach. 1-4 - Yuki Itoh, Marco F. Duarte, Mario Parente:
Performance guarantees for sparse regression-based unmixing. 1-4 - Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan:
Spectral curve-based endmember extraction method. 1-4 - Huan Xie, Xiaohua Tong, Wen Meng, Fang Wang, Xiong Xu:
Multiple stratified sampling strategy for assessing the big remote sensing products. 1-4 - Lucas Drumetz
Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability. 1-4 - Yanfei Zhong, Yunyun Wu, Ruyi Feng, Xiong Xu, Liangpei Zhang:
Non-local sub-pixel mapping for hyperspectral imagery. 1-4 - Laëtitia Loncan, Jocelyn Chanussot, Sophie Fabre, Xavier Briottet:
Hyperspectral pansharpening based on unmixing techniques. 1-4 - Hongjun Su, Peijun Du:
A novel dynamic classifier ensemble algorithm for hyperspectral image classification. 1-4 - (Withdrawn) Decomposing the contribution of foliar nitrogen content and canopy structural properties in the reflectance spectra of cereal crops. 1-4
- Weiwei Sun, Liangpei Zhang, Bo Du:
A sparse self-representation method for band selection in hyperspectral imagery classification. 1-4 - Hsiao-Chi Li, Chein-I Chang:
An orthogonal projection approach to simplex growing algorithm. 1-4 - Hsiao-Chi Li, Chein-I Chang:
Linear spectral unmixing using least squares error, orthogonal projection and simplex volume for hyperspectral images. 1-4 - Rob Heylen
Nonlinear unmixing with a multilinear mixing model. 1-4 - Bing Peng, Xiaoming Xie, Wei Li, Qian Du
Hyperspectral image classification using multiple features and nearest regularized subspace. 1-4 - Lei Zhang, Wei Wei, Yanning Zhang, Fei Li, Hangqi Yan:
Nonseparable sparsity based hyperspectral compressive sensing. 1-4 - Xu Sun, Feifei Zhang, Lina Yang, Bing Zhang, Lianru Gao:
A hyperspectral image spectral unmixing method integrating slic superpixel segmentation. 1-4 - Jiming Li:
Active learning for hyperspectral image classification with a stacked autoencoders based neural network. 1-4 - Fatih Ömrüuzun, Didem Ozisik Baskurt, Yasemin Yardimci Çetin:
DTW based signal alignment for enhancing CO2 detection in MWIR hyperspectral imagery. 1-4 - Anchang Sun, Tao Chen:
Urbanization analysis in Wuhan area from 1991 TO 2013 based on SMA. 1-4 - Chih-Hung Lai, Keng-Hao Liu:
A band prioritization method based on kernel weights for progressive band umixning of hyperspectral imagery. 1-4 - Bing Zhang, Lianru Gao, Xu Sun, Lina Zhuang:
Swarm intelligence: A reliable solution for extracting endmembers from hyperspectral imagery. 1-4 - Yong-Hyun Kim
Comparative analysis of the hyperspectral vegetatation index and radar vegetation index: A novel fusion vegetation index. 1-4 - Ke Wu, Yue Ma, Liangpei Zhang:
Sub-pixel land-cover change detection based on pixel unmixing and EM algorithm. 1-4 - Wei Li, Lan Chang, Qian Du
Representation-based classification for hyperspectral imagery: An elastic net regularization approach. 1-4 - Jingguo Tian, Shudong Wang, Lifu Zhang, Taixia Wu, Xiaojun She, Hailing Jiang:
Evaluating different vegetation index for estimating lai of winter wheat using hyperspectral remote sensing data. 1-4 - Yoann Altmann
Linear spectral unmixing using collaborative sparse regression and correlated supports. 1-4 - Lina Yang, Xu Sun, Bing Zhang, Tianhe Chi:
An multi-agent combined artificial bee colony algorithm to hyperspectral image endmember extraction. 1-4 - Gabriele Candiani
Characterization of fine metal particles using hyperspectral imaging in automatic weee recycling systems. 1-4 - Cheng Gao, Shih-Yu Chen, Hsian-Min Chen, Chao-Cheng Wu, Chia-Hsien Wen, Chein-I Chang:
Fully abundance-constrained endmember finding for hyperspectral images. 1-4 - Abderrahim Halimi
Hyperspectral unmixing accounting for spatial correlations and endmember variability. 1-4 - Yao Liu, Wenjuan Zhang, Bing Zhang, Li Ni:
A spectral-correaltion-based emissivity image simulation method for the 2.7 micron absorption bands. 1-4 - Qian Wu, Rong Zhang, Fan Wang:
Hyperspectral data compression using double sparsity model. 1-4 - Xujun Ye
Nondestructive monitoring of chicken meat freshness using hyperspectral imaging technology. 1-4 - Liwei Li, Bing Zhang, Lianru Gao:
An empirical study of urban mapping in a chain approach. 1-4 - Qiong Ran, Wei Li, Qian Du
Spatial-spectral classification with local regional filter and Markov random field. 1-4 - Daniel L. Bongiorno, Adam J. Fairley, Stefan B. Williams
Spatially informed spectral unmixing. 1-4 - Toru Maruyama, Tomoji Sanga, Masaru Fujita:
Construction of high spectral resolution reflectance database. 1-4 - Cong Li
FPGA implementation of a maximum volume algorithm for endmember extraction from hyperspectral imagery. 1-4 - Andrea Marinoni, Rachel L. Klima
Characterizing dark spectra in mercury surface observations by nonlinear hyperspectral modeling. 1-4 - Andrea Marinoni, Paolo Gamba:
Order-∞ nonlinear hyperspectral unmixing by sinusoidal polytope decomposition. 1-4 - Sébastien Combrexelle, Herwig Wendt
Hyperspectral image analysis using multifractal attributes. 1-4 - Yonggang Qian, Ning Wang, Caixia Gao, Lingling Ma, Lingli Tang, Chuanrong Li:
Evaluation of temperature and emissivity separation method using the hyperspectral data for contrast emissivity surfaces. 1-4 - Yongqiang Zhao
Jointly spatial-spectral resolution enhancement of hyperspectral imagery. 1-4 - Sergio Bernabé
GPU implementation of a constrained hyperspectral coded aperture algorithm for compressive sensing. 1-4 - Jihan Khoder
Dimension reduction of hyperspectral image with rare event preserving. 1-5 - Zhi He, Lin Liu, Yuanhui Zhu
Anisotropically foveated nonlocal weights for joint sparse representation-based hyperspectral classification. 1-4 - Gizem Ortaç, Kadim Tasdemir, Ahmet Seckin Bilgi, Efkan Durmus, Habil Kalkan
Detection of dried figs with black mold by using hyperspectral images. 1-4 - Efkan Durmus, Ahmet Seckin Bilgi, Gizem Ortaç, Habil Kalkan
Detection of black mold infected figs by using transmittance spectroscopy. 1-4 - Taichi Takayama, Takashi Ohki, Tomomi Takeda:
Discrimination of peat swamp forest types with hyperspectral data. 1-4 - Ronny Hänsch, Olaf Hellwich:
Feature-independent classification of hyperspectral images by projection-based random forests. 1-4 - Yifan Zhang, Yan Gao, Yang Liu, Mingyi He
Hyperspectral and multispectral image fusion based on constrained CNMF unmixing. 1-4 - Filipe Condessa, José M. Bioucas-Dias, Jelena Kovacevic:
SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularization. 1-4 - Filipe Condessa, José M. Bioucas-Dias, Jelena Kovacevic:
Robust hyperspectral image classification with rejection fields. 1-4 - Shih-Yu Chen, Yuan-Hsun Liao, Wei-Sheng Lo, Horng-Yuh Guo, Ching-Hua Kao, Tau-Meu Chou, Chia-Hsien Wen, Chinsu Lin
Pesticide residue detection by hyperspectral imaging sensors. 1-4 - Qingting Li, Lianru Gao, Wenjuan Zhang, Bing Zhang:
Requirements and optimization of sensor parameters for mineral extraction. 1-4 - Lei Tong, Jun Zhou
Multiple graph regularized NMF for hyperspectral unmixing. 1-4 - Katrin Stephan, Ralf Jaumann, Maria Cristina De Sanctis, Eleonora Ammannito, Thomas Roatsch, Klaus-Dieter Matz, Lucy A. McFadden
Spin-forbidden pyroxene absorptions in the vir-spectra of 4Vesta. 1-5 - Wolfgang Groß, Sebastian Wuttke, Wolfgang Middelmann:
Transformation of hyperspectral data to improve classification by mitigating nonlinear effects. 1-4 - Arnaud Le Bris, Nesrine Chehata
A comparison of several feature selection scores applied to hyperspectral data. 1-4 - Li-Chien Lee, Drew Paylor, Chein-I Chang:
Anomaly discrimination and classification for hyperspectral imagery. 1-4 - Yi Wang, Ke Wu, Tao Chen:
A gradient and Laplacian based reaction-diffusion filter for hyperspectral image denosing. 1-4 - Jun Zhou
On the sampling strategies for evaluation of joint spectral-spatial information based classifiers. 1-4 - Li Ni, Hua Wu, Bing Zhang, Wenjuan Zhang, Lianru Gao:
Improvement of linear spectral emissivity constraint method for temperature and emissivity separation of hyperspectral thermal infrared data. 1-4 - Jean-Claude Thelen, Stephan Havemann
HT-FRTC: A fast radiative transfer code using kernel regression. 1-4 - Changping Huang, Lifu Zhang, Yi Cen, Qingxi Tong:
Investigating Fraunhofer line based fluorescence retrieval in O2-B band with hyperspectral radiative transfer simulations. 1-4 - Qingwang Wang, Huan Liu, Yanfeng Gu:
Discriminating multiple kernel learning for joint classification of optical and LiDAR data in urban area. 1-4 - Shinya Odagawa, Tomomi Takeda, Hiroya Yamano
Bottom-type classification in coral reef area using hyperspectral bottom index imagery. 1-4 - Hao Ding, Huijie Zhao:
A method for band registration of small moving target based on staring imaging spectrometer. 1-4 - Tsuneo Matsunaga
Detection of large point sources of carbon dioxide by a satellite hyperspectral camera. 1-4 - Jun Shao, Daqi Xu, Chun Feng, Mingmin Chi:
Big data challenges in China centre for resources satellite data and application. 1-4 - Shujin Sun, Ping Zhong, Huaitie Xiao, Fang Liu, Runsheng Wang:
An active learning method based on Markov random fields for hyperspectral images classification. 1-4 - Shujin Sun, Ping Zhong, Huaitie Xiao, Fang Liu, Runsheng Wang:
An active learning method based on SVM classifier for hyperspectral images classification. 1-4 - Junshu Wang, Nan Jiang, Guoming Zhang, Bin Hu, Yang Li:
Automatic framework for semi-supervised hyperspectral image classification using self-training with data editing. 1-4 - Dawei Xu, Rong Zhang, Qian Wu:
Hyperspectral image compression using learned classified dictionary. 1-4 - Xueke Li, Kai Liu, Taixia Wu, Hongbo Su
Comparison of TG-1 and EO-1 hyperion in urban land cover classification. 1-4 - Xia Zhang, Tong Shuai, Honglei Lin:
Abundance retrieval of hydrous minerals around the mars science laboratory landing site. 1-4 - Kuniaki Uto, Haruyuki Seki, Genya Saito, Yukio Kosugi, Teruhisa Komatsu:
Development of hyperspectral imaging system using optical fiber bundle and swing mirror. 1-4 - Walid Ouerghemmi, Cécile Gomez, S. Naceur, Philippe Lagacherie:
Semi-blind source separation for estimation of clay content over semi-vegetated areas, from vnir/swir hyperspectral airborne data. 1-4 - Shailesh S. Deshpande, Arun Inamdar, Harrick Vin:
Chromatic discrimination of impervious surfaces using artificial colors for hyper spectral data. 1-4 - Hasan Irmak, Gözde B. Akar
A map-based approach to resolution enhancement of hyperspectral images. 1-4 - Muhammad Imran Farid, Mingyi He
Extended morphological profiles with duality for hyperspectral image classification. 1-5 - Naoto Yokoya, Xiaoxiang Zhu
Graph regularized coupled spectral unmixing for change detection. 1-4 - Taichi Takayama, Naoto Yokoya, Akira Iwasaki:
Optimal hyperspectral classification for paddy field with semisupervised self-learning. 1-4 - Mireille Guillaume, Yves Michels, Sylvain Jay:
Joint estimation of water column parameters and seabed reflectance combining maximum likelihood and unmixing algorithm. 1-4 - Marian-Daniel Iordache
Potential and limitations of band selection and library pruning in sparse hyperspectral unmixing. 1-4 - Kai Liu, Hongbo Su
The estimation of high resolution urban surface temperature using hyperspectral spectral mixture analysis. 1-4 - Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li, Xiong Xu:
Spectral-spatial clustering of hyperspectral remote sensing image with sparse subspace clustering model. 1-4 - Lifu Zhang, Hao Chen, Dongjie Fu, Taixia Wu, Jia Liu, Changping Huang:
Method for time series extraction of characteristic parameters from multidimensional remote sensing datasets. 1-4 - Yi Cen, Guibin Hao, Lifu Zhang, Bo Wu
Spatial-temporal information extraction for vegetation phenology variation based on modis ndvi datasets in the Tibetan Plateau. 1-4 - Yaokai Liu, Ning Wang, Lingling Ma, Chuanrong Li, Lingli Tang:
A method for atmospheric parameters and surface reflectance retrieval from hyperspectral remote sensing data. 1-4 - Taixia Wu, Lifu Zhang, Changping Huang:
An analysis of shadow effects on spectral vegetation indices using a ground-based imaging spectrometer. 1-4 - Sefa Kucuk, Seniha Esen Yüksel:
Comparison of RX-based anomaly detectors on synthetic and real hyperspectral data. 1-4 - Keshav Dev Singh, Ramakrishnan Desikan:
Non-linear spectral unmixing of moon mineralogy mapper (M3) data. 1-4 - Keshav Dev Singh, Ramakrishnan Desikan:
Uncertainties in TIR hyperspectral image cube unmixing. 1-4 - Yao Li, Cheng Gao, Chein-I Chang:
Progressive band processing of automatic target generation process. 1-4 - Chein-I Chang, Yao Li, Chao-Cheng Wu:
Band detection in hyperspectral imagery by pixel purity index. 1-4
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-26 00:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: