Peter Krzystek

Environmental Engineering · 2008–2012

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 29 citations into it; #1,227 of 5,479 by trust here, #1,005 by citations
• Nature and Landscape Conservation — 21 citations into it; #1,488 of 6,941 by trust here, #2,143 by citations
• Insect Science — 20 citations into it; #290 of 2,259 by trust here, #498 by citations
• Instrumentation — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Geology — 7 citations into it

Whom Peter Krzystek trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tomas Brandtberg
2. J. Reitberger
3. Jianbo Shi
4. Luc M. Vincent
5. Wolfgang Wagner
6. Uwe Stilla
7. Erik Næsset
8. Arthur P. Dempster
9. Xiaowei Yu
10. Jari Vauhkonen

Who trusts Peter Krzystek overall

1. Francesco Pirotti
2. Wei Yao
3. Xiaowei Yu
4. Yinghai Ke
5. Lauri Korhonen
6. Lindi J. Quackenbush
7. Marco Heurich

Papers from Peter Krzystek's perspective

Ordered by how strongly the researchers Peter Krzystek trusts endorse each paper. Same corpus, a different order for every researcher.

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
2. Airborne laser scanning: Exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species
3. Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner
4. Range determination with waveform recording laser systems using a Wiener Filter
5. Decomposition of laser altimeter waveforms (IEEE Transactions on Geoscience and Remote Sensing)
6. Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
7. An Algorithm for Least-Squares Estimation of Nonlinear Parameters
8. Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
9. 3D segmentation of single trees exploiting full waveform LIDAR data
10. A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES

Their papers

• Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data (2012) — 327 citations
• IDENTIFYING STANDING DEAD TREES IN FOREST AREAS BASED ON 3D SINGLE TREE DETECTION FROM FULL WAVEFORM LIDAR DATA (2012) — 48 citations
• 3D segmentation of single trees exploiting full waveform LIDAR data (2009) — 489 citations
• Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees (2008) — 324 citations