Wenjiang Huang
Ecology · 2004–2020
A researcher in the Science corpus: 9 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 78 citations into it
- Plant Science — 67 citations into it
- Global and Planetary Change — 16 citations into it
Whom Wenjiang Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Wenjiang Huang's perspective
Ordered by how strongly the researchers Wenjiang Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- A survey of image classification methods and techniques for improving classification performance
- Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
- Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements
- The application of artificial neural networks to the analysis of remotely sensed data
- Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data (IEEE Transactions on Geoscience and Remote Sensing)
- A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales (International Journal of Applied Earth Observation and Geoinformation)
- Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction (Ecosystems)
- UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis (Remote Sensing)
- An assessment of the effectiveness of a random forest classifier for land-cover classification
- Multi-class geospatial object detection and geographic image classification based on collection of part detectors
Their papers
- Identification of banana fusarium wilt using supervised classification algorithms with UAV-based multi-spectral imagery (2020) — 46 citations
- Monitoring plant diseases and pests through remote sensing technology: A review (2019) — 512 citations
- Retrieving leaf chlorophyll content using a matrix-based vegetation index combination approach (2019) — 144 citations
- Effects of different sampling densities on geographically weighted regression kriging for predicting soil organic carbon (2017) — 50 citations
- An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery (2016) — 70 citations
- Detecting powdery mildew of winter wheat using leaf level hyperspectral measurements (2012) — 182 citations
- Using in-situ hyperspectral data for detecting and discriminating yellow rust disease from nutrient stresses (2012) — 113 citations
- Estimating chlorophyll content from hyperspectral vegetation indices : Modeling and validation (2008) — 837 citations
- Prediction of grain protein content in winter wheat (Triticum aestivum L.) using plant pigment ratio (PPR) (2004) — 128 citations