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ISPRS Journal of Photogrammetry and Remote Sensing Volume 160 February 2020

Derek Lichti - Nama Orang;

1. Transferring deep learning models for cloud detection between Landsat-8 and Proba-Vp. 1-17
2. Estimating winter wheat yield based on a light use efficiency model and wheat variety datap. 18-32
3. TanDEM-X DEM: Comparative performance review employing LIDAR data and DSMsp. 33-50
4. A two-step approach for the correction of rolling shutter distortion in UAV photogrammetryp. 51-66
5. Orientation guided anchoring for geospatial object detection from remote sensing imageryp. 67=82
6. Optimising drone flight planning for measuring horticultural tree crop structurep. 83-96
7. A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imageryp. 97-106
8. Automated training sample definition for seasonal burned area mappingp. 107-123
9. Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods p. 124-135
10. A semi-empirical approach for modeling the vegetation thermal infrared directional anisotropy of canopies based on using vegetation indices p. 136-148
11. Automated extraction of lane markings from mobile LiDAR point clouds based on fuzzy inference pp. 149-166
12. Deep nonsmooth nonnegative matrix factorization network with semi-supervised learning for SAR image change detection p. 167-179
13. Assessment of bidirectional reflectance effects on desert and forest for radiometric cross-calibration of satellite sensors p. 180-194
14. Three-dimensional photogrammetric mapping of cotton bolls in situ based on point cloud segmentation and clustering p. 195-207
15. Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm p. 208-228
16. Polarimetric calibration for the distributed Gaofen-3 product by an improved unitary zero helix framework p. 229-243
17. Robust point cloud registration based on topological graph and Cauchy weighted p. 244-254
18. A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images . 260-274
19. On the versatility of popular and recently proposed supervised evaluation metrics for segmentation quality of remotely sensed images: An experimental case study of building extraction p. 275-290


Ketersediaan
M-4374-XII-2020526.982Perpustakaan BIGTersedia namun tidak untuk dipinjamkan - Missing
Informasi Detail
Judul Seri
-
No. Panggil
526.982
Penerbit
Amsterdam : Elsevier., 2020
Deskripsi Fisik
290 hlm. : illus. ; 28 cm
Bahasa
Inggris
ISBN/ISSN
0924-2716
Klasifikasi
526.982
Tipe Isi
text
Tipe Media
other
Tipe Pembawa
unspecified
Edisi
Volume 160 February 2020
Subjek
Penginderaan Jauh
Fotogrametri
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Editor in Chief Derek Lichti
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Transferring deep learning models for cloud detection between Landsat-8 and Proba-V
  • Estimating winter wheat yield based on a light use efficiency model and wheat variety data
  • TanDEM-X DEM: Comparative performance review employing LIDAR data and DSMs
  • A two-step approach for the correction of rolling shutter distortion in UAV photogrammetry
  • Orientation guided anchoring for geospatial object detection from remote sensing imagery
  • Optimising drone flight planning for measuring horticultural tree crop structure
  • A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery
  • Automated training sample definition for seasonal burned area mapping
  • Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods
  • A semi-empirical approach for modeling the vegetation thermal infrared directional anisotropy of canopies based on using vegetation indices
  • Automated extraction of lane markings from mobile LiDAR point clouds based on fuzzy inference
  • Deep nonsmooth nonnegative matrix factorization network with semi-supervised learning for SAR image change detection
  • Assessment of bidirectional reflectance effects on desert and forest for radiometric cross-calibration of satellite sensors
  • Three-dimensional photogrammetric mapping of cotton bolls in situ based on point cloud segmentation and clustering
  • Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm
  • Polarimetric calibration for the distributed Gaofen-3 product by an improved unitary zero helix framework
  • Robust point cloud registration based on topological graph and Cauchy weighted -norm
  • A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
  • On the versatility of popular and recently proposed supervised evaluation metrics for segmentation quality of remotely sensed images: An experimental case study of building extraction
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