2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)最新文献

SAR image compression based on sparsity 基于稀疏性的SAR图像压缩

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-11-12 DOI: 10.1109/IGARSS.2015.7326494

A. Budillon, Gilda Schirinzi

引用次数: 0

Simultaneous clustering and embedding for multiple intimate mixtures 多亲密混合物的同时聚类和嵌入

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-11-12 DOI: 10.1109/IGARSS.2015.7326292

A. Saranathan, M. Parente

{"title":"Simultaneous clustering and embedding for multiple intimate mixtures","authors":"A. Saranathan, M. Parente","doi":"10.1109/IGARSS.2015.7326292","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326292","url":null,"abstract":"Classical unmixing algorithms focus primarily on scenarios with a single mixture. These techniques are easily extensible in the case of images with multiple discrete mixtures (i.e. no shared endmembers). Unmixing in scenarios with multiple mixtures with shared or common endmembers is significantly harder. Manifold clustering and embedding seem tailor-made for such a scenario, but generally these algorithms focus on intersecting manifolds (i.e. manifolds that pass through each other) rather than adjoining manifolds (i.e. manifolds that share a boundary) as is the case with mixtures. In this paper we propose a NNMF based technique for simultaneous manifold clustering and embedding of adjoining manifolds. The algorithm is based on including a clustering term in the objective for finding an appropriate reconstruction matrix. The performance of the new algorithm is tested on a toy dataset made of a couple of simulated manifolds which share a boundary and a simulated dataset made up of two ternary Hapke mixtures with two shared endmembers. The algorithm shows improvements on the state-of-the-art manifold clustering algorithms in terms of both clustering and embedding.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124048499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

DEM and DHM reconstruction in tropical forests: Tomographic results at P-band with three flight tracks 热带森林DEM和DHM重建:p波段3个飞行轨迹层析成像结果

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-11-12 DOI: 10.1109/IGARSS.2015.7326451

Lan Li, E. Chen, Zeng-yuan Li, Q. Feng, Lei Zhao, Wen Yang

引用次数: 3

Assimilation of satellite observations for the estimation of Savanna gross primary production 同化卫星观测资料估算热带草原初级生产总值

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-11-12 DOI: 10.1109/IGARSS.2015.7326553

M. Meroni, F. Rembold, M. Migliavacca, J. Ardö

引用次数: 1

A “dynamic” land masking algorithm for synthetic aperture radar images 合成孔径雷达图像的“动态”陆地掩蔽算法

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-11-12 DOI: 10.1109/IGARSS.2015.7326783

W. Biamino, M. Borasi, M. Cavagnero, A. Croce, L. D. Matteo, F. Fontebasso, F. Tataranni, P. Trivero

引用次数: 8

Nationwide ground deformation monitoring by persistent scatterer interferometry 持续散射干涉法监测全国地面变形

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-11-12 DOI: 10.1109/IGARSS.2015.7326057

M. Costantini, F. Minati, M. G. Ciminelli, A. Ferretti, S. Costabile

引用次数: 13

Assessing woody vegetation cover dynamics in the Kruger National Park, South Africa: Linking historical aerial photographs and spot imagery 评估南非克鲁格国家公园的木质植被覆盖动态:将历史航空照片和现场图像联系起来

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-11-12 DOI: 10.1109/IGARSS.2015.7326762

C. Munyati, N. I. Sinthumule

{"title":"Assessing woody vegetation cover dynamics in the Kruger National Park, South Africa: Linking historical aerial photographs and spot imagery","authors":"C. Munyati, N. I. Sinthumule","doi":"10.1109/IGARSS.2015.7326762","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7326762","url":null,"abstract":"The coexistence of woody vegetation and grass characterises savannas. High spatial resolution digital satellite images and appropriate image processing algorithms can facilitate monitoring of the woody cover. Historical aerial photographs enable an extension of high spatial resolution analysis of the woody cover to periods before satellite imagery. This study tested a methodology that used historical (1998, 2012) SPOT-4 HRVIR gray scale (“red”) band (0.6-0.68um, 10m resolution) and SPOT-5 HRG panchromatic band (0.48-0.71 urn, 5m resolution) images in combination with panchromatic (0.4-0.7um) aerial photographs (1940, 1968, 1977; 0.44-1.35m resolution) in monitoring woody cover at sites in the Kruger National Park, South Africa. Mean Euclidean Distance texture analysis in 3×3 moving windows enhanced woody cover. The woody cover on the respective multitemporal texture images was extracted through K-means clustering, with high (>85%) indicative classification accuracy. Boolean GIS overlay analysis of the resulting woody cover thematic layers enabled woody cover change detection.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124406135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Multi-frequency polarimetric microwave observations of snow cover on first-year Arctic sea ice 北极海冰第一年积雪覆盖的多频极化微波观测

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-11-12 DOI: 10.1109/IGARSS.2015.7327015

V. Nandan, John J. Jacket, J. P. Gill, T. Geldsetzer, M. Fuller

{"title":"Multi-frequency polarimetric microwave observations of snow cover on first-year Arctic sea ice","authors":"V. Nandan, John J. Jacket, J. P. Gill, T. Geldsetzer, M. Fuller","doi":"10.1109/IGARSS.2015.7327015","DOIUrl":"https://doi.org/10.1109/IGARSS.2015.7327015","url":null,"abstract":"This study explores the potential of a multi-frequency (Ku-, X- and C-band) scatterometry approach, to understand microwave interactions between teo statistically different snow thickness covers (14cm and 8cm) on first-year Arctic sea ice during the late winter to early-melt season transition. The results show substantial differences in backscatter response from all three frequencies, for both snow covers. Highly-saline snow covers with fluctuating snow geophysical and thermodynamic properties cause these backscatter fluctuations, with contributions from surface and volume scattering from different snow layers and interfaces. C-band exhibited drastic variations in backscatter, especially for the 14cm snow cover, when compared to Ku- and X-band. In the case of 8cm snow cover, all the three frequencies show minimal sensitivity to snow electro-thermo-physical properties. Our results show distinctly different snow thermodynamic processes operating within the different snow layers, essential for snow thickness estimation on first-year sea ice using active microwave remote sensing approaches.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126026109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interferometric and polarimetric methods to determine SWE, fresh snow depth and the anisotropy of dry snow 干涉法和偏振法测定SWE、新雪深和干雪各向异性

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-11-12 DOI: 10.1109/IGARSS.2015.7326709

S. Leinss, J. Lemmetyinen, A. Wiesmann, I. Hajnsek

引用次数: 8

Detection of thinning and clear-cuts using TanDEM-X data 使用TanDEM-X数据检测变薄和清切

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-11-12 DOI: 10.1109/IGARSS.2015.7326423

H. Persson, M. Soja, L. Ulander, J. Fransson

引用次数: 5