Abstract is missing.
- Graph regularized coupled spectral unmixing for change detectionNaoto Yokoya, Xiaoxiang Zhu. 1-4 [doi]
- Hyperspectral unmixing accounting for spatial correlations and endmember variabilityAbderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine. 1-4 [doi]
- Improving the spatial resolution of hyperspectral image using panchromatic and multispectral images: An integrated methodXiangchao Meng, Huanfeng Shen, Huifang Li, Qiangqiang Yuan, Hongyan Zhang, Liangpei Zhang. 1-4 [doi]
- Combining rotation forest and multi-scale segmentation for the classification of hyperspectral dataJike Chen, Junshi Xia, Peijun Du, Jocelyn Chanussot. 1-4 [doi]
- Evaluating different vegetation index for estimating lai of winter wheat using hyperspectral remote sensing dataJingguo Tian, Shudong Wang, Lifu Zhang, Taixia Wu, Xiaojun She, Hailing Jiang. 1-4 [doi]
- Hyperspectral data compression using double sparsity modelQian Wu, Rong Zhang, Fan Wang. 1-4 [doi]
- CHESRE: A comprehensive public hyperspectral experimental site and data set for resources explorationFuping Gan, Shuneng Liang, Peijun Du, Fuxing Dang, Kun Tan, Hongjun Su, Zhaohui Xue. 1-4 [doi]
- Hyperspectral image unmixing using autoencoder cascadeRui Guo, Wei Wang, Hairong Qi. 1-4 [doi]
- GPU implementation of a constrained hyperspectral coded aperture algorithm for compressive sensingSergio Bernabé, Gabriel Martín, José M. P. Nascimento, José M. Bioucas-Dias, Antonio Plaza, Vítor Silva 0001. 1-4 [doi]
- DTW based signal alignment for enhancing CO2 detection in MWIR hyperspectral imageryFatih Omruuzun, Didem Ozisik Baskurt, Yasemin Yardimci Çetin. 1-4 [doi]
- Restoration of EnMAP data through sparse reconstructionDaniele Cerra, Jakub Bieniarz, Tobias Storch, Rupert Müller, Peter Reinartz. 1-4 [doi]
- Robust collaborative nonnegative matrix factorization for hyperspectra unmixing (R-CONMF)Jun Li 0009, José M. Bioucas-Dias, Antonio Plaza, Lin Liu. 1-4 [doi]
- Chromatic discrimination of impervious surfaces using artificial colors for hyper spectral dataShailesh S. Deshpande, Arun Inamdar, Harrick Vin. 1-4 [doi]
- Hyperspectral data simulation data and image classification in the future earth observation asi mission frameworkMalvina Silvestri, Massimo Musacchio, Maria Fabrizia Buongiorno, Cristina Ananasso. 1-4 [doi]
- Optimal hyperspectral classification for paddy field with semisupervised self-learningTaichi Takayama, Naoto Yokoya, Akira Iwasaki. 1-4 [doi]
- Identification of craters on Lunar surface using hyperspectral chandrayan dataVishal Saini, Ajay Kumar Patel. 1-4 [doi]
- Compressive hyper-spectral imaging in the presence of impulse noiseHemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar. 1-4 [doi]
- Characterizing dark spectra in mercury surface observations by nonlinear hyperspectral modelingAndrea Marinoni, Rachel Klima, Paolo Gamba. 1-4 [doi]
- Joint estimation of water column parameters and seabed reflectance combining maximum likelihood and unmixing algorithmMireille Guillaume, Yves Michels, Sylvain Jay. 1-4 [doi]
- Potential and limitations of band selection and library pruning in sparse hyperspectral unmixingMarian-Daniel Iordache, José M. Bioucas-Dias, Antonio Plaza. 1-4 [doi]
- A spectral-correaltion-based emissivity image simulation method for the 2.7 micron absorption bandsYao Liu, Wenjuan Zhang, Bing Zhang, Li Ni. 1-4 [doi]
- Characterization of fine metal particles using hyperspectral imaging in automatic weee recycling systemsGabriele Candiani, Nicoletta Picone, Loredana Pompilio, Monica Pepe, Marcello Colledani. 1-4 [doi]
- Jointly spatial-spectral resolution enhancement of hyperspectral imageryYongqiang Zhao, Chen Yi, Jingxiang Yang. 1-4 [doi]
- Spatially informed spectral unmixingDaniel L. Bongiorno, Adam J. Fairley, Stefan B. Williams. 1-4 [doi]
- Spatial-temporal information extraction for vegetation phenology variation based on modis ndvi datasets in the Tibetan PlateauYi Cen, Guibin Hao, Lifu Zhang, Bo Wu, Dongjie Fu, Xuejian Sun, Changping Huang. 1-4 [doi]
- Spin-forbidden pyroxene absorptions in the vir-spectra of 4VestaKatrin Stephan, Ralf Jaumann, Maria Cristina De Sanctis, Eleonora Ammannito, Thomas Roatsch, Klaus-Dieter Matz, Lucy A. McFadden, Rachel Klima, Carol A. Raymond, Christopher T. Russell. 1-5 [doi]
- A new smoothness based strategy for semi-supervised atmospheric correction: Application to the léman-Baïkal campaignM. Cubero-Castan, D. Constantin, K. Barbieux, V. Nouchi, Y. Akhtman, B. Merminod. 1-4 [doi]
- An Isomap-based kernerl-Knn classifier for hyperspectral data analysisYuan Zhou, Chun Liu, Nan Li, Minzhen Li. 1-4 [doi]
- Hyperspectral and multispectral image fusion based on constrained CNMF unmixingYifan Zhang, Yan Gao, Yang Liu, Mingyi He. 1-4 [doi]
- A method for atmospheric parameters and surface reflectance retrieval from hyperspectral remote sensing dataYaokai Liu, Ning Wang, Lingling Ma, Chuanrong Li, Lingli Tang. 1-4 [doi]
- An orthogonal projection approach to simplex growing algorithmHsiao-Chi Li, Chein-I Chang. 1-4 [doi]
- A comparison of several feature selection scores applied to hyperspectral dataArnaud Le Bris, Nesrine Chehata, Xavier Briottet, Nicolas Paparoditis. 1-4 [doi]
- Pesticide residue detection by hyperspectral imaging sensorsShih-Yu Chen, Yuan-Hsun Liao, Wei-Sheng Lo, Horng-Yuh Guo, Ching-Hua Kao, Tau-Meu Chou, Chia-Hsien Wen, Chinsu Lin, Hsian-Min Chen, Yen Chieh Ouyang, Chao-Cheng Wu, Chein-I Chang. 1-4 [doi]
- Urbanization analysis in Wuhan area from 1991 TO 2013 based on SMAAnchang Sun, Chen Tao. 1-4 [doi]
- Spectral-spatial clustering of hyperspectral remote sensing image with sparse subspace clustering modelHan Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li, Xiong Xu. 1-4 [doi]
- Fully abundance-constrained endmember finding for hyperspectral imagesCheng Gao, Shih-Yu Chen, Hsian-Min Chen, Chao-Cheng Wu, Chia-Hsien Wen, Chein-I Chang. 1-4 [doi]
- Requirements and optimization of sensor parameters for mineral extractionQingting Li, LianRu Gao, Wenjuan Zhang, Bing Zhang. 1-4 [doi]
- Multiple object tracking with background estimation in hyperspectral video sequencesZacharias Kandylakis, Konstantinos Karantzalos, Anastasios Doulamis, Nikolaos Doulamis. 1-4 [doi]
- Sub-pixel land-cover change detection based on pixel unmixing and EM algorithmKe Wu, Yue Ma, Liang-pei Zhang. 1-4 [doi]
- When can the minimum volume enclosing simplex identify the endmembers correctly when there is no pure pixel?Wing-Kin Ma, Chia-Hsiang Lin, Wei-Chiang Li, Chong-Yung Chi. 1-4 [doi]
- Prospecting for hydrothermal mineral deposits in the Himalaya using short-wave infrared spectroscopyH. Govil. 1-4 [doi]
- A map-based approach to resolution enhancement of hyperspectral imagesHasan Irmak, Gözde B. Akar, Seniha Esen Yuksel. 1-4 [doi]
- Benchmarking server-side software modules for handling and processing remote sensing data through RasdamanAthanasios Karmas, Konstantinos Karantzalos. 1-4 [doi]
- Comparing inference methods for conditional random fields for hyperspectral image classificationYang Hu, Sildomar T. Monteiro, Eli Saber. 1-4 [doi]
- Comparison of TG-1 and EO-1 hyperion in urban land cover classificationXueke Li, Kai Liu 0006, Taixia Wu, Hongbo Su. 1-4 [doi]
- Anomaly discrimination and classification for hyperspectral imageryLi-Chien Lee, Drew Paylor, Chein-I Chang. 1-4 [doi]
- A band prioritization method based on kernel weights for progressive band umixning of hyperspectral imageryChih-Hung Lai, Keng-Hao Liu. 1-4 [doi]
- Detection of black mold infected figs by using transmittance spectroscopyEfkan Durmus, Ahmet Seckin Bilgi, Gizem Ortaç, Habil Kalkan, Kadim Tasdemir. 1-4 [doi]
- A gradient and Laplacian based reaction-diffusion filter for hyperspectral image denosingYi Wang, Ke Wu, Tao Chen. 1-4 [doi]
- A comparative study of hyperspectral anomaly and signature based target detection methods for oil spillsHilal Soydan, Alper Koz, H. Sebnem Düzgün, A. Aydin Alatan. 1-4 [doi]
- An active learning method based on Markov random fields for hyperspectral images classificationShujin Sun, Ping Zhong, Huaitie Xiao, Fang Liu, Runsheng Wang. 1-4 [doi]
- Modified residual method for estimation of noise statistics in hyperspectral imagesAsad Mahmood, Amandine Robin, Michael Sears. 1-4 [doi]
- Comparison of RX-based anomaly detectors on synthetic and real hyperspectral dataSefa Kucuk, Seniha Esen Yuksel. 1-4 [doi]
- An analysis of shadow effects on spectral vegetation indices using a ground-based imaging spectrometerTaixia Wu, Lifu Zhang, Changping Huang. 1-4 [doi]
- Estimating target signatures with diverse densityT. Glenn, A. Zare. 1-4 [doi]
- Identify anomaly componentbysparsity and low rankWei Wang, Shuangjiang Li, Hairong Qi, Bulent Ayhan, Chiman Kwan, Steven Vance. 1-4 [doi]
- Anisotropically foveated nonlocal weights for joint sparse representation-based hyperspectral classificationZhi He, Lin Liu, Yuanhui Zhu, Suhong Zhou. 1-4 [doi]
- Progressive band processing of automatic target generation processYao Li, Cheng Gao, Chein-I Chang. 1-4 [doi]
- Extended morphological profiles with duality for hyperspectral image classificationMuhammad Imran Farid, Mingyi He. 1-5 [doi]
- Comparative analysis of the hyperspectral vegetatation index and radar vegetation index: A novel fusion vegetation indexYong-Hyun Kim, Jae-Hong Oh, Jae-Wan Choi, Yong-Il Kim. 1-4 [doi]
- Progressive endmember finding by fully constrained least squares methodShih-Yu Chen, Yen Chieh Ouyang, Chinsu Lin, Hsian-Min Chen, Cheng Gao, Chein-I Chang. 1-4 [doi]
- Improvement of linear spectral emissivity constraint method for temperature and emissivity separation of hyperspectral thermal infrared dataLi Ni, Hua Wu, Bing Zhang, Wenjuan Zhang, LianRu Gao. 1-4 [doi]
- Band detection in hyperspectral imagery by pixel purity indexChein-I Chang, Yao Li, Chao-Cheng Wu. 1-4 [doi]
- Semi-blind source separation for estimation of clay content over semi-vegetated areas, from vnir/swir hyperspectral airborne dataWalid Ouerghemmi, C. Gomez, S. Naceur, Philippe Lagacherie. 1-4 [doi]
- Active learning for hyperspectral image classification with a stacked autoencoders based neural networkJiming Li. 1-4 [doi]
- Detection of spectrally varying BRDF materials in hyperspectral reflectance imageryRobert Sundberg, Steven M. Adler-Golden, Timothy C. Perkins, Karmon Vongsy. 1-4 [doi]
- Abundance retrieval of hydrous minerals around the mars science laboratory landing siteXia Zhang, Tong Shuai, Honglei Lin. 1-4 [doi]
- Blind hyperspectral unmixing using an extended linear mixing model to address spectral variabilityLucas Drumetz, Simon Henrot, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten. 1-4 [doi]
- Linear spectral unmixing using collaborative sparse regression and correlated supportsYoann Altmann, Marcelo Pereyra, José M. Bioucas-Dias. 1-4 [doi]
- Hyperspectral data unmixing with graph-based regularizationRita Ammanouil, André Ferrari, Cédric Richard. 1-4 [doi]
- Non-local sub-pixel mapping for hyperspectral imageryYanfei Zhong, Yunyun Wu, Ruyi Feng, Xiong Xu, Liangpei Zhang. 1-4 [doi]
- Swarm intelligence: A reliable solution for extracting endmembers from hyperspectral imageryBing Zhang, LianRu Gao, Xu Sun, Lina Zhuang. 1-4 [doi]
- Water stress detection using hyperspectral thermal infrared remote sensingMax Gerhards, Gilles Rock, Martin Schlerf, Thomas Udelhoven, Willy Werner. 1-4 [doi]
- Development of hyperspectral imaging system using optical fiber bundle and swing mirrorKuniaki Uto, Haruyuki Seki, Genya Saito, Yukio Kosugi, Teruhisa Komatsu. 1-4 [doi]
- Optimized feature fusion of LiDAR and hyperspectral data for tree species mapping in closed forest canopiesFrieke M. B. Van Coillie, W. Liao, P. Kempeneers, K. Vandekerkhove, S. Gautama, W. Philips, Robert R. De Wulf. 1-4 [doi]
- Dimension reduction of hyperspectral image with rare event preservingJihan Khoder, Rafic Younes, Hussein Obeid, Mohamad Khalil. 1-5 [doi]
- A spatial compositional model for linear unmixingYuan Zhou 0004, Anand Rangarajan, Paul D. Gader. 1-4 [doi]
- Impact of hybrid pansharpening approaches applied to hyperspectral imagesGiorgio Licciardi, Miguel Angel Veganzones, Gemine Vivone, Laëtitia Loncan, Jocelyn Chanussot. 1-4 [doi]
- Multiple graph regularized NMF for hyperspectral unmixingLei Tong, Jun Zhou, Yuntao Qian, Yongsheng Gao. 1-4 [doi]
- Investigating Fraunhofer line based fluorescence retrieval in O2-B band with hyperspectral radiative transfer simulationsChangping Huang, Lifu Zhang, Yi Cen, Qingxi Tong. 1-4 [doi]
- A method based on nonnegative matrix factorization dealing with intra-class variability for unsupervised hyperspectral unmixingCharlotte Revel, Yannick Deville, Véronique Achard, Xavier Briottet. 1-4 [doi]
- Bayesian fusion of multispectral and hyperspectral images using a block coordinate descent methodQi Wei, Nicolas Dobigeon, Jean-Yves Tourneret. 1-5 [doi]
- Hyperspectral compressive acquisition in the spatial domain via blind factorizationGabriel Martín, José M. Bioucas-Dias. 1-4 [doi]
- Uncertainties in TIR hyperspectral image cube unmixingKeshav Dev Singh, Ramakrishnan Desikan. 1-4 [doi]
- Enhanced detection of chemical plumes in hyperspectral images and movies throughimproved backgroundmodelingYi Grace Wang, Mauro Maggioni, Guangliang Chen. 1-4 [doi]
- Dynamic dictionary learning strategies for sparse representation based hyperspectral image enhancementClaas Grohnfeldt, Tristan Michael Burns, Xiao Xiang Zhu. 1-4 [doi]
- Automatic framework for semi-supervised hyperspectral image classification using self-training with data editingJunshu Wang, Nan Jiang, Guoming Zhang, Bin Hu, Yang Li. 1-4 [doi]
- Performance guarantees for sparse regression-based unmixingYuki Itoh, Marco F. Duarte, Mario Parente. 1-4 [doi]
- Standoff midwave infrared hyperspectral imaging of ship plumesMarc-Andre Gagnon, Jean-Philippe Gagnon, Pierre Tremblay, Simon Savary, Vincent Farley, Eric Guyot, Philippe Lagueux, Martin Chamberland. 1-4 [doi]
- Discrimination of peat swamp forest types with hyperspectral dataTaichi Takayama, Takashi Ohki, Tomomi Takeda. 1-4 [doi]
- Nondestructive monitoring of chicken meat freshness using hyperspectral imaging technologyXujun Ye, Kanako Iino, Shuhuai Zhang, Seiichi Oshita. 1-4 [doi]
- A hyperspectral image spectral unmixing method integrating slic superpixel segmentationXu Sun, Feifei Zhang, Lina Yang, Bing Zhang, LianRu Gao. 1-4 [doi]
- Endmember extraction by L2, 0 constrained sparse dictionary selectionShaohui Mei, Qian Du, Mingyi He, Yihang Wang. 1-4 [doi]
- Sparsity-based optimal targets spectra generation methodTing Wang, Hui Lin. 1-4 [doi]
- Hyperspectral resolution enhancement using multisensor image dataJakub Bieniarz, Daniele Cerra, X. X. Zhu, R. Muller, Peter Reinartz. 1-4 [doi]
- A method for band registration of small moving target based on staring imaging spectrometerHao Ding, Huijie Zhao. 1-4 [doi]
- Hyperspectral image classification using multiple features and nearest regularized subspaceBing Peng, Xiaoming Xie, Wei Li, Qian Du. 1-4 [doi]
- Evaluation of temperature and emissivity separation method using the hyperspectral data for contrast emissivity surfacesYonggang Qian, Ning Wang, Caixia Gao, Lingling Ma, Lingli Tang, Chuanrong Li. 1-4 [doi]
- Superpixel-based active learning for the classification of hyperspectral imagesZhongyi Sun, Mingmin Chi. 1-4 [doi]
- Impact of sparse representation on the admissible solutions of spectral unmixing by non-negative matrix factorizationNeeraj Kumar, Saïd Moussaoui, Jérôme Idier, David Brie. 1-4 [doi]
- Nonlinear unmixing with a multilinear mixing modelRob Heylen, Paul Scheunders. 1-4 [doi]
- Hyperspectral image classification using Fisher criterion-based Gabor cube selection and multi-task joint sparse representationSen Jia, Yao Xie 0001, LinLin Shen, Lin Deng. 1-4 [doi]
- Detection of dried figs with black mold by using hyperspectral imagesGizem Ortaç, Kadim Tasdemir, Ahmet Seckin Bilgi, Efkan Durmus, Habil Kalkan. 1-4 [doi]
- Bottom-type classification in coral reef area using hyperspectral bottom index imageryShinya Odagawa, Tomomi Takeda, Hiroya Yamano, Tsuneo Matsunaga. 1-4 [doi]
- A novel dynamic classifier ensemble algorithm for hyperspectral image classificationHongjun Su, Peijun Du. 1-4 [doi]
- Hyperspectral image compression using learned classified dictionaryDawei Xu, Rong Zhang, Qian Wu. 1-4 [doi]
- Crop and forest acreage estimation using expert system based knowledge classifier approachSandip S. Thorat, Yogesh D. Rajendra, K. V. Kale, S. C. Mehrotra. 1-4 [doi]
- Linear spectral unmixing using least squares error, orthogonal projection and simplex volume for hyperspectral imagesHsiao-Chi Li, Chein-I Chang. 1-4 [doi]
- On the sampling strategies for evaluation of joint spectral-spatial information based classifiersJun Zhou, Jie Liang, Yuntao Qian, Yongsheng Gao, Lei Tong. 1-4 [doi]
- Detection of large point sources of carbon dioxide by a satellite hyperspectral cameraTsuneo Matsunaga, Satoru Yamamoto, Tetsushi Tachikawa. 1-4 [doi]
- Order-∞ nonlinear hyperspectral unmixing by sinusoidal polytope decompositionAndrea Marinoni, Paolo Gamba. 1-4 [doi]
- Hyperspectral image analysis using multifractal attributesSébastien Combrexelle, Herwig Wendt, Jean-Yves Tourneret, Stephen McLaughlin 0003, Patrice Abry. 1-4 [doi]
- FPGA implementation of a maximum volume algorithm for endmember extraction from hyperspectral imageryCong Li, LianRu Gao, Antonio Plaza, Bing Zhang. 1-4 [doi]
- Feature-independent classification of hyperspectral images by projection-based random forestsRonny Hänsch, Olaf Hellwich. 1-4 [doi]
- Decomposing the contribution of foliar nitrogen content and canopy structural properties in the reflectance spectra of cereal cropsTao Cheng, Dong Li, Siyao Chen, Xia Yao, YongChao Tian, Yan Zhu, Weixing Cao. 1-4 [doi]
- Method for time series extraction of characteristic parameters from multidimensional remote sensing datasetsLifu Zhang, Hao Chen, Dongjie Fu, Taixia Wu, Jia Liu, Changping Huang. 1-4 [doi]
- 3) dataKeshav Dev Singh, Ramakrishnan Desikan. 1-4 [doi]
- HT-FRTC: A fast radiative transfer code using kernel regressionJean-Claude Thelen, Stephan Havemann. 1-4 [doi]
- An multi-agent combined artificial bee colony algorithm to hyperspectral image endmember extractionLina Yang, Xu Sun, Bing Zhang, Tianhe Chi. 1-4 [doi]
- Nonseparable sparsity based hyperspectral compressive sensingLei Zhang, Wei Wei, Yanning Zhang, Fei Li, Hangqi Yan. 1-4 [doi]
- Discriminating multiple kernel learning for joint classification of optical and LiDAR data in urban areaQingwang Wang, Huan Liu, Yanfeng Gu. 1-4 [doi]
- Hyperspectral pansharpening based on unmixing techniquesLaëtitia Loncan, Jocelyn Chanussot, Sophie Fabre, Xavier Briottet. 1-4 [doi]
- SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularizationFilipe Condessa, José M. Bioucas-Dias, Jelena Kovacevic. 1-4 [doi]
- Deconstructing optimal detection algorithmsAlan Schaum. 1-4 [doi]
- Construction of high spectral resolution reflectance databaseToru Maruyama, Tomoji Sanga, Masaru Fujita. 1-4 [doi]
- An empirical study of urban mapping in a chain approachLiwei Li, Bing Zhang, LianRu Gao. 1-4 [doi]
- Representation-based classification for hyperspectral imagery: An elastic net regularization approachWei Li, Lan Chang, Qian Du. 1-4 [doi]
- Big data challenges in China centre for resources satellite data and applicationJun Shao, Daqi Xu, Chun Feng, Mingmin Chi. 1-4 [doi]
- Hyperspectral image segmentation with low-rank representation and spectral clusteringAlex Sumarsono, Qian Du, Nicolas H. Younan. 1-4 [doi]
- Highly reflective plate detection from LWIR ground imagesPoyraz Umut Hatipoglu, Levent Ozparlak. 1-5 [doi]
- Splitting the hyperspectral-multispectral image fusion problem autonomously into weighted pan-sharpening tasks - The spectral grouping conceptClaas Grohnfeldt, Xiao Xiang Zhu, Richard Bamler. 1-4 [doi]
- Spectral curve-based endmember extraction methodTatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan. 1-4 [doi]
- Transformation of hyperspectral data to improve classification by mitigating nonlinear effectsWolfgang Groß, Sebastian Wuttke, Wolfgang Middelmann. 1-4 [doi]
- A novel approach for endmember bundle extraction using spectral space splittingCharoula Andreou, Derek M. Rogge, Benoit Rivard, Rupert Müller. 1-4 [doi]
- Hyperspectral impulse denoising with sparse and low-rank penaltiesSnigdha Tariyal, Hemant Kumar Aggarwal, Angshul Majumdar. 1-4 [doi]
- Object-based fusion of hyperspectral and LiDAR data for classification of urban areasPrashanth Reddy Marpu, Sergio Sanchez-Martinez. 1-4 [doi]
- Two-stage fusion of thermal hyperspectral and visible RGB image by PCA and guided filterWenzhi Liao, Xin Huang, Frieke Van Coillie, Guy Thoonen, Aleksandra Pizurica, Paul Scheunders, Wilfried Philips. 1-4 [doi]
- Spatial-spectral classification with local regional filter and Markov random fieldQiong Ran, Wei Li, Qian Du. 1-4 [doi]
- Robust hyperspectral image classification with rejection fieldsFilipe Condessa, José M. Bioucas-Dias, Jelena Kovacevic. 1-4 [doi]
- Specific band ratio for vegetation indices calculation in hyperspectral imagesBus ra Ozbay, Yunus Emre Esin, Furkan Cengel. 1-4 [doi]
- Multiple stratified sampling strategy for assessing the big remote sensing productsHuan Xie, Xiaohua Tong, Wen Meng, Fang Wang, Xiong Xu. 1-4 [doi]
- An active learning method based on SVM classifier for hyperspectral images classificationShujin Sun, Ping Zhong, Huaitie Xiao, Fang Liu, Runsheng Wang. 1-4 [doi]
- Hyperspectral change detection by sparse unmixing with dictionary pruningAlp Ertürk, Marian-Daniel Iordache, Antonio Plaza. 1-4 [doi]
- Hyperspectral image unmixing via simultaneously sparse and low rank abundance matrix estimationParis V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas. 1-4 [doi]
- A sparse self-representation method for band selection in hyperspectral imagery classificationWeiwei Sun, Liangpei Zhang, Bo Du. 1-4 [doi]
- The estimation of high resolution urban surface temperature using hyperspectral spectral mixture analysisKai Liu, Hongbo Su, Weimin Wang, Xueke Li. 1-4 [doi]