Methodology of Accuracy Assessment of Land Cover Classification using Hyperion and AVIRIS Imagery

被引：0

作者：

Glennon, Mary Ann ^{[1
]}

Puetz, Capt Angela ^{[2
]}

Cooley, Thomas ^{[2
]}

Lockwood, Ronald ^{[2
]}

Cipar, John ^{[2
]}

Payton, Steven ^{[3
]}

Tompkins, Stefanie ^{[3
]}

机构：

[1] Boston Coll, Inst Sci Res, Chestnut Hill, MA 02467 USA

[2] Air Force Res Lab, Hanscom AFB, MA 01731 USA

[3] SAIC, Chantilly, VA 20151 USA

来源：

2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8 | 2006年

关键词：

D O I：

10.1109/IGARSS.2006.542

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The objective of the most recent Hyperion Utility Assessment was to validate the EO-1 Hyperion hyperspectral data for image classification by comparing independent image classification results with ground truth over two distinct terrains. Lessons learned during the experiment will be presented to aid future research.

引用

页码：2095 / +

页数：3

共 50 条

[41] Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data Using Post-Classification Enhancement
Manandhar, Ramita
Odeh, Inakwu O. A.
Ancev, Tiho
[J]. REMOTE SENSING, 2009, 1 (03) : 330 - 344
[42] Enhancing the Accuracy of Land Cover Classification by Airborne LiDAR Data and WorldView-2 Satellite Imagery
Wei, Chun-Ta
Tsai, Ming-Da
Chang, Yu-Lung
Wang, Ming-Chih Jason
[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 11 (07)
[43] ACCURACY ASSESSMENT OF GAME-BASED CROWDSOURCED LAND-USE/LAND COVER IMAGE CLASSIFICATION
Pistorius, Theodor
Poona, Nitesh
[J]. 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014,
[44] Multi-resolution segmentation for object-based classification and accuracy assessment of land use/land cover classification using remotely sensed data
Rahman M.R.
Saha S.K.
[J]. Journal of the Indian Society of Remote Sensing, 2008, 36 (2) : 189 - 201
[45] Multi-resolution Segmentation for Object-based Classification and Accuracy Assessment of Land Use/Land Cover Classification using Remotely Sensed Data
Rahman, Md. Rejaur
Saha, S. K.
[J]. PHOTONIRVACHAK-JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2008, 36 (02): : 189 - 201
[46] Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods
Xian, George
Homer, Collin
Fry, Joyce
[J]. REMOTE SENSING OF ENVIRONMENT, 2009, 113 (06) : 1133 - 1147
[47] Land Use Land Cover Classification from Satellite Imagery using mUnet: A Modified Unet Architecture
Garg, Lakshya
Shukla, Parul
Singh, Sandeep Kumar
Bajpai, Vaishangi
Yadav, Utkarsh
[J]. VISAPP: PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL 4, 2019, : 359 - 365
[48] Mediterranean forest species mapping using classification of Hyperion imagery
Galidaki, Georgia
Gitas, Ioannis
[J]. GEOCARTO INTERNATIONAL, 2015, 30 (01) : 48 - 61
[49] ASSESSMENT OF THE THEMATIC ACCURACY OF LAND COVER MAPS
Hohle, J.
[J]. ISPRS GEOSPATIAL WEEK 2015, 2015, II-3 (W5): : 187 - 194
[50] Sampling designs for accuracy assessment of land cover
Stehman, Stephen V.
[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2009, 30 (20) : 5243 - 5272

← 1 2 3 4 5 →